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Discounted cash flow

Discounted cash flow (DCF) is a financial valuation that estimates the intrinsic value of an , , , or by calculating the of its expected future cash flows, adjusted for the and associated risks. This approach recognizes that future cash flows are worth less today due to opportunity costs and uncertainty, requiring them to be discounted back to the present using an appropriate rate. The core principle of DCF stems from the time value of money, where a unit of currency received in the future is discounted to reflect its lower present worth compared to immediate receipt. The basic formula for DCF valuation is the sum of discounted future cash flows:
Present Value = Σ [Cash Flow_t / (1 + r)^t ],
where Cash Flow_t is the expected cash flow in period t, r is the discount rate, and t represents the time period. The discount rate typically incorporates the risk-free rate, a market risk premium, and beta to account for systematic risk, often expressed as the weighted average cost of capital (WACC) for valuing the entire firm or the required return on equity for equity-specific valuations.
DCF models commonly use two variants: free cash flow to the firm (FCFF) and free cash flow to equity (FCFE). FCFF represents cash flows available to all investors (debt and equity holders) after operating expenses, taxes, and reinvestments, calculated as net income plus non-cash charges, after-tax interest, minus fixed capital investment and working capital investment; it is discounted at WACC to derive firm value, from which debt is subtracted to obtain equity value. In contrast, FCFE measures cash flows available solely to equity holders after all expenses, reinvestments, and debt repayments, derived as FCFF minus after-tax interest plus net borrowing, and discounted at the cost of equity to directly value equity. For perpetual growth scenarios, simplified formulas apply, such as firm value = FCFF_1 / (WACC - g), where g is the constant growth rate. Widely applied in investment analysis, , , and , DCF provides a fundamental, intrinsic valuation independent of market prices, with a 2019 survey indicating its use by approximately 87% of equity analysts. However, its accuracy depends on reliable forecasts of flows, rates, and rates, making it sensitive to assumptions and less suitable for companies with unstable or unpredictable flows. The method's theoretical foundations were laid by John Burr Williams in 1938, with its modern formulation advanced by economist Joel Dean in 1951, building on earlier concepts from the dating back to the .

Fundamentals

Definition and Principles

Discounted cash flow (DCF) is a financial valuation method that estimates the intrinsic of an , such as a , , , or asset, by its expected future flows and discounting them to their . This approach is widely used by investors, analysts, and corporate managers to assess whether an is undervalued or overvalued relative to its current market price, guiding decisions in , , and portfolio management. The core principle of DCF is the (TVM), which asserts that a unit of available today holds greater value than the same unit received in the future due to its potential to earn returns through . Discounting incorporates TVM by applying a rate that reflects both the of —such as foregone or returns from alternative s—and the inherent risks of the cash flows, including in projections and economic factors. This adjustment ensures that future cash flows are expressed in today's dollars, providing a comparable basis for valuation. Key components of DCF include the estimation of periodic cash flows, typically to the firm or , and the selection of a , often the (WACC) for enterprise valuations. The model sums the present values of these cash flows over a finite forecast horizon, often augmented by a terminal value to capture perpetual growth beyond that period, yielding the total intrinsic value. The mathematical foundation of DCF is expressed as: \text{DCF} = \sum_{t=1}^{n} \frac{\text{CF}_t}{(1 + r)^t} + \frac{\text{TV}}{(1 + r)^n} where \text{CF}_t represents the cash flow in period t, r is the discount rate, n is the number of forecast periods, and \text{TV} is the terminal value, calculated as \text{TV} = \frac{\text{CF}_{n+1}}{r - g} with g as the perpetual growth rate.

Historical Development

The concept of discounted cash flow (DCF) analysis traces its practical origins to the late in the industry, where it emerged as a tool for evaluating investments. The earliest recorded use appeared in colliery viewers' books in 1772 on , though systematic application began around amid the Industrial Revolution's demand for exploiting deep coal reserves. Colliery viewers, who were mining engineers and managers, employed DCF to value holdings for sales or estate purposes, integrating accounting principles with engineering assessments to maximize wealth under economic pressures like rising capital needs. This method's sudden adoption in was catalyzed by specific economic conditions, including wartime demands and expansions, and it persisted in the sector into the , predating its later academic formalization. In the , DCF techniques gained traction through applications, particularly in the railroad sector. Arthur M. Wellington's 1877 book, The Economic Theory of the Location of Railways, introduced early DCF criteria for investment evaluation by discounting future revenues against costs to assess project viability. By the early , firms like Du Pont (from 1903–1912) and Atlas Powder (post-1912) refined these methods , combining return-on-investment calculations with concepts for . further advanced DCF in the 1920s through cost studies, such as those by F.L. Rhodes in 1925, emphasizing discounted future cash flows for long-term decisions. Theoretical underpinnings solidified in the early with Irving Fisher's work on the . In his 1907 book The Rate of Interest, Fisher formalized the principle that an asset's value equals the of its expected future cash flows, discounted at an appropriate interest rate, providing a foundational framework for DCF in . This was extended to investment valuation by John Burr Williams in 1938's The Theory of Investment Value, which applied present value discounting to estimate and worth based on anticipated dividends or earnings. Mid-century publications accelerated DCF's adoption in corporate practice: Eugene L. Grant's 1930 Principles of Engineering Economy popularized engineering applications, George Terborgh's 1949 Dynamic Equipment Policy introduced concepts, and Joel Dean's 1951 integrated DCF into broader financial , using for project selection. These works, disseminated through engineers, consultants, and industry associations, marked DCF's evolution from industrial tools to a standardized valuation method by the 1950s.

Mathematical Foundations

Discrete Cash Flow Model

The discrete cash flow model forms the core of discounted cash flow (DCF) valuation, positing that future s occur at specific, discrete points in time, usually at the end of predefined periods such as years or quarters. This approach simplifies the by applying discrete , where each cash flow is discounted back to the present using a periodic discount factor. It assumes cash flows are lump sums realized instantaneously at period endpoints, aligning with standard financial reporting cycles and making it practical for most appraisals. The mathematical foundation of the model is the (NPV) formula, which aggregates discounted s over a finite horizon: NPV = \sum_{t=1}^{n} \frac{CF_t}{(1 + r)^t} Here, CF_t represents the expected at the end of period t, r is the periodic (often the , WACC), and n is the number of periods. This summation reflects the principle that a received further in the future is worth less today due to opportunity costs and risk, with the discount factor (1 + r)^t exponentially reducing the value as t increases. For projects with a perpetual or terminal phase beyond the explicit forecast, a terminal value (TV) is added, typically calculated via the Gordon Growth Model as TV = \frac{CF_{n+1}}{r - g}, where g is the perpetual growth rate, yielding the extended formula: NPV = \sum_{t=1}^{n} \frac{CF_t}{(1 + r)^t} + \frac{TV}{(1 + r)^n} This structure ensures the model captures both explicit forecasts and long-term value, though it requires accurate projections of CF_t, r, and g. Key assumptions underpin the model's validity: cash flows are and occur precisely at period ends, the remains constant across periods, and there are no intra-period variations in timing or reinvestment. These simplifications facilitate but can introduce errors if cash flows are more evenly distributed over time, as in continuous operations. In practice, sensitivity to these assumptions is tested by varying r or shifting timing (e.g., mid-period conventions), revealing that higher discount rates amplify discrepancies from more granular models. To illustrate, consider a five-year with annual cash flows of $1 million in years 1–2, $4 million in years 3–4, and $6 million in , discounted at 5% (r = 0.05). The present values are $952,381 (year 1), $907,029 (year 2), $3,455,350 (year 3), $3,290,810 (year 4), and $4,701,156 (), summing to approximately $13.307 million. If the initial investment is $10 million, the positive NPV indicates viability. This example highlights how progressively diminishes later cash flows, emphasizing the need for robust . Compared to continuous models, the discrete approach yields a slightly lower NPV for equivalent cash flows—e.g., 4.69% lower at a 10% for uniform flows—due to the end-of-period assumption delaying effective receipt. The gap widens with higher rates or irregular patterns, potentially exceeding 10% in volatile scenarios, underscoring the model's suitability for periodic but limitations in cash-generating activities. Despite this, its widespread adoption stems from computational ease and compatibility with financial statements.

Continuous Cash Flow Model

The continuous model in discounted (DCF) valuation extends the model by treating as a continuous stream over time, rather than periodic lumps, which is particularly useful for theoretical analyses or scenarios with smooth, ongoing growth transitions. This approach leverages integral calculus to compute the , assuming occur continuously and discounting is compounded infinitely often. It is rooted in continuous-time financial , providing a more precise framework for infinite-horizon valuations where approximations may introduce minor errors. Mathematically, the value V of an asset in the continuous model is given by the of discounted flows: V = \int_0^\infty CF(t) \, e^{-k t} \, dt where CF(t) is the rate at time t, and k = \ln(1 + r) is the continuous corresponding to the discrete rate r (e.g., , WACC). This formulation arises from the limit of continuous , ensuring the discount factor e^{-k t} reflects instantaneous . For enterprise value (EV), cash flows are often derived from (EBIT), adjusted for taxes and : EV = \int_0^\infty e^{-k t} (1 - \tau) EBIT_t \, dt, where \tau is the . To model EBIT_t, the continuous approach typically incorporates growth phases, such as a transition from high initial growth g_0 to stable long-term growth g_\infty, using exponential functions for smoothness. One common specification is EBIT_t = EBIT_0 \left[ e^{-\lambda t} e^{g_0 t} + (1 - e^{-\lambda t}) e^{g_\infty t} \right], where \lambda governs the speed of transition to the stable phase. Integrating this yields a closed-form EV: EV = (1 - \tau) EBIT_0 \left( \frac{1}{k - g_\infty} + \frac{1}{k + \lambda - g_0} - \frac{1}{k + \lambda - g_\infty} \right) - \frac{\Delta WCR_\infty}{k - g_\infty} with \Delta WCR_\infty as the perpetual change in requirement. This reduces the need for iterative numerical summation in discrete models, solving instead via a linking EV to financing structure. Compared to the discrete model, which sums V = \sum_{t=1}^n \frac{CF_t}{(1 + r)^t} + \frac{TV}{(1 + r)^n}, the continuous version avoids period-end assumptions and better approximates distant future flows, especially for "super stocks" with prolonged growth. It requires fewer parameters (e.g., no explicit forecast periods) and computation time, with empirical tests showing EV errors under 5% relative to discrete methods across sampled firms. However, it assumes idealized continuity, which may not suit lumpy cash flows like project investments. Applications include equity and enterprise valuations for mature firms with predictable growth paths, such as in the H-model variant for linear decline to stability or two-stage transitions. For instance, applying the model to yielded an EV of €5,575 million versus €5,877 million from discrete DCF, demonstrating close alignment. The approach has gained traction in advanced valuation for its analytical tractability, though it remains less common in practice than discrete models due to the latter's alignment with reporting periods.

Discount Rate

Components of the Discount Rate

The discount rate in (DCF) valuation represents the required that investors demand to compensate for the and the risks associated with the investment. It is typically derived from the , which varies depending on whether the analysis focuses on cash flows or firm-level cash flows. For valuation, the serves as the discount rate, while for enterprise valuation, the (WACC) is used, incorporating both and financing costs. The cost of , often estimated using the (CAPM), comprises three primary components: the , the , and the . The (r_f) reflects the return on a theoretically riskless , such as the on long-term bonds (e.g., U.S. bonds; 4.13% for the 10-year note as of November 2025), serving as the baseline return without default or . The (\beta) measures the asset's relative to the portfolio, quantifying how sensitive the investment's returns are to movements; a greater than 1 indicates higher than the . The (ERP, or r_m - r_f) is the additional return investors expect for bearing over the , historically estimated from excess returns (e.g., around 5-6% arithmetic average for U.S. based on long-term data; implied ERP of 4.33% as of January 2025). The CAPM formula integrates these as: r_e = r_f + \beta (r_m - r_f) For instance, if r_f = 4.13\%, \beta = 1.2, and ERP = 5%, then r_e = 4.13\% + 1.2 \times 5\% = 9.13\%. In contrast, the cost of debt (r_d) is the effective rate a firm pays on its borrowings, adjusted for the tax deductibility of interest payments, which provides a tax shield. It is calculated as the pre-tax interest rate (e.g., yield to maturity on corporate bonds) multiplied by (1 - t), where t is the corporate tax rate; for example, a 5% pre-tax rate with a 21% U.S. tax rate yields an after-tax cost of 3.95%. This component is lower than the cost of equity due to debt's priority in claims and lower risk to lenders. The WACC synthesizes the cost of equity and cost of debt, weighted by their proportions in the firm's (using s for accuracy). The is: \text{WACC} = \left( \frac{E}{V} \right) r_e + \left( \frac{D}{V} \right) r_d (1 - t) where E is the of , D is the of , and V = E + D. This rate reflects the blended cost of financing the firm's operations, assuming a target or current ; for example, with 70% at 9.13% cost and 30% at 3.95% after-tax cost, WACC ≈ 7.69%. The WACC is particularly relevant for discounting free cash flows to the firm, as it accounts for the lower cost of debt while incorporating leverage effects on equity risk.

Estimation Techniques

The in discounted cash flow (DCF) valuation represents the of capital, reflecting the and , and is most commonly estimated as the (WACC) for enterprise valuations or the for equity-specific approaches. The WACC formula is: \text{WACC} = \left( \frac{E}{V} \right) r_e + \left( \frac{D}{V} \right) r_d (1 - t) where E is the market value of , D is the market value of debt, V = E + D, r_e is the , r_d is the pre-tax cost of debt, and t is the marginal . Weights are based on market values to reflect current , ensuring the rate aligns with the financing mix supporting the cash flows. Estimation begins with the , typically the on long-term government bonds (e.g., 4.13% for the 10-year U.S. Treasury note as of November 2025) to match the of projected cash flows and minimize reinvestment risk. For non-U.S. markets, adjustments account for country-specific default spreads or currency risks, such as subtracting the spread from a global benchmark rate. In real terms, the can approximate long-term expected real growth, derived from inflation-indexed bonds or historical data. The cost of equity is primarily estimated using the Capital Asset Pricing Model (CAPM), which posits that expected return compensates for systematic risk: r_e = r_f + \beta (r_m - r_f) where \beta measures the asset's sensitivity to market returns, and r_m - r_f is the equity risk premium (ERP). Developed in seminal work by Sharpe (1964), Lintner (1965), and Mossin (1966), CAPM assumes investors hold diversified portfolios and price only non-diversifiable risk. Beta is calculated via regression of historical stock returns against a market index (e.g., S&P 500) or bottom-up by averaging unlevered betas across industry peers, then relevering for firm-specific debt: \beta_L = \beta_U [1 + (1 - t)(D/E)]. The ERP is often the historical geometric average excess return of stocks over bonds (e.g., 4.31% for U.S. data from 1928–2023) or an implied premium derived by solving for the rate that equates current market prices to expected dividends and growth (e.g., 4.33% implied ERP as of January 2025). For emerging markets, the ERP adds a country risk premium, such as the default spread multiplied by relative equity volatility: ERP = U.S. ERP + (Default Spread × \sigma_{equity}/\sigma_{bond}). Alternative methods for include the build-up method, which cumulatively adds premiums to the : + risk premium + size premium + company-specific risk premium + industry adjustment. This approach, rooted in Ibbotson Associates' data, suits illiquid or small firms where beta estimation is unreliable, though it lacks CAPM's theoretical foundation and may overstate risk for diversified entities. Another technique is the implied from a DCF model, where the rate is reverse-engineered to match observed market prices with forecasted dividends or , often using a multi-stage assumption for long-term stability. The Surface Transportation Board, for instance, employs a three-stage DCF model for railroad , incorporating constant , transitional phases, and perpetual rates based on discount models. The pre-tax cost of debt is estimated from the on the firm's existing bonds or, for unrated firms, by assigning a synthetic based on interest coverage ratios and adding the corresponding default spread to the (e.g., AAA spread of 0.36% as of November 2025 per ICE BofA option-adjusted spread). For multinational firms, include a portion (e.g., two-thirds) of the country default spread to reflect borrowing costs. The after-tax cost incorporates the : r_d (1 - t), assuming interest deductibility. In practice, tests WACC variations (e.g., ±1% on or ) to assess valuation robustness, as small changes can significantly impact values in perpetual models. While CAPM and WACC dominate due to their integration with , extensions like the Fama-French three-factor model adjust for and risks but are less common in DCF for their complexity.

Valuation Applications

Equity Approach

The equity approach in discounted cash flow (DCF) valuation estimates the intrinsic of a company's by discounting its projected future free cash flows to (FCFE) at the required on , also known as the . This method focuses specifically on cash flows available to common shareholders after accounting for operating expenses, reinvestments, and obligations, providing a direct measure of without needing to subtract the of separately. It is particularly useful for valuing levered firms or those that do not pay dividends, as it captures the full potential cash available to holders rather than actual payouts. Free cash flow to equity (FCFE) represents the cash a business generates after funding capital expenditures, working capital needs, and net debt payments, making it distributable to shareholders. The standard formula for FCFE is: \text{FCFE} = \text{Net Income} + \text{Non-cash Charges} - \text{Fixed Capital Investment} - \text{Working Capital Investment} + \text{Net Borrowing} where non-cash charges include depreciation and amortization, fixed capital investment is capital expenditures, working capital investment is the change in non-cash working capital, and net borrowing is new debt issued minus principal repayments. An alternative computation uses cash flow from operations adjusted for capital investments and net borrowing: \text{FCFE} = \text{[CFO](/page/CFO$)} - \text{Fixed Capital Investment} + \text{Net Borrowing} These calculations ensure FCFE reflects only the portion of attributable to equity after servicing debt. To derive the , future FCFE projections are discounted to using the , which accounts for the borne by shareholders. The general discrete model sums the present values of expected FCFE over a finite , plus a terminal value for perpetual growth: \text{Value of Equity} = \sum_{t=1}^{n} \frac{\text{FCFE}_t}{(1 + r)^t} + \frac{\text{Terminal Value}}{(1 + r)^n} where r is the , often estimated via the (CAPM) as r = R_f + \beta (R_m - R_f), with R_f as the , \beta as the equity beta, and (R_m - R_f) as the market risk premium. For stable growth scenarios, the Gordon growth model simplifies this to: \text{Value of Equity} = \frac{\text{FCFE}_1}{r - g} where \text{FCFE}_1 is next period's FCFE and g is the perpetual growth rate, typically aligned with long-term and constrained by g < r. Growth in FCFE is driven by the equity reinvestment rate multiplied by the (ROE), emphasizing the need for realistic projections based on historical data and benchmarks. This approach offers advantages over dividend discount models by incorporating all potential cash flows to , including that could be distributed, making it suitable for growth-oriented or financially flexible firms. However, it requires accurate of effects, as higher can boost FCFE through tax shields but also increases and thus the . In practice, multi-stage models (e.g., two-stage or three-stage) are common to handle varying phases, with the terminal value often comprising a significant portion of the total . The resulting is then divided by outstanding shares to obtain per-share intrinsic value for decisions.

Entity Approach

The entity approach, also known as the firm approach, in discounted cash flow (DCF) valuation estimates the total of a business by discounting its expected free flows to the firm (FCFF) at the (WACC). This method treats the firm as a single operating , capturing flows available to all providers—both and holders—before financing costs. It is particularly useful for valuing the entire enterprise, such as in or when assessing overall firm health, as it avoids the need to forecast leverage-specific items like interest payments. FCFF represents the cash generated by the firm's operations after reinvestment needs but before any payments to debt or equity holders. It is typically calculated as: \text{FCFF} = \text{EBIT} \times (1 - \text{tax rate}) + \text{Depreciation} - \text{Capital Expenditures} - \Delta \text{Net Working Capital} where EBIT is earnings before interest and taxes. Alternative formulations start from net income or cash flow from operations, adjusting for after-tax interest and reinvestments. Projections of FCFF are based on expected revenues, margins, and growth rates, often assuming a stable or target capital structure over the forecast period. The in the entity approach is the WACC, which reflects the blended and after-tax , weighted by their proportions in the firm's : \text{WACC} = \left( \frac{E}{V} \right) r_e + \left( \frac{D}{V} \right) r_d (1 - t_c) where E is the of , D is the of , V = E + D, r_e is the , r_d is the cost of , and t_c is the rate. This rate accounts for the of the operating cash flows, remaining constant if is assumed stable, but may vary if debt ratios fluctuate. The enterprise (EV) under the entity approach is the of projected FCFF over an explicit forecast period plus a terminal , discounted at WACC: \text{EV} = \sum_{t=1}^{n} \frac{\text{FCFF}_t}{(1 + \text{WACC})^t} + \frac{\text{TV}}{(1 + \text{WACC})^n} The terminal (TV) is often estimated using the Gordon model: \text{TV} = \frac{\text{FCFF}_{n+1}}{\text{WACC} - g}, where g is the perpetual rate. is then obtained by subtracting the of net ( minus ) from EV. This two-step process—valuing the firm first, then isolating equity—ensures consistency in handling financing effects. Compared to the equity approach, which discounts free cash flow to equity (FCFE) directly at the , the entity approach is preferred when is volatile or difficult to predict, as it separates operating performance from financing decisions. Both methods should yield equivalent equity values under consistent assumptions about growth and , but the entity approach provides a more comprehensive view of firm-wide value creation. It is widely applied in for its alignment with enterprise value metrics like /EBITDA multiples.

Challenges and Extensions

Limitations and Criticisms

Discounted cash flow (DCF) valuation is highly sensitive to its input assumptions, particularly the and , where small changes can lead to significant variations in the estimated value. For instance, a 100 increase in the (WACC) combined with a 50 decrease in the perpetual can reduce the share price by over 19%. This sensitivity arises because the terminal value often dominates the total valuation, frequently comprising more than 50% of the enterprise value, making the model vulnerable to even minor adjustments in long-term . Critics argue that DCF's reliance on unobservable inputs, such as expected future cash flows and discount rates, renders the methodology empirically untestable, as infinite combinations of these variables can be manipulated to justify any market price. There is no robust evidence that investors actually form expectations or apply discount rates in the linear manner assumed by the model, and studies show a lack of predictive power for market values when back-testing DCF outputs. Furthermore, the method's analogy to bond pricing is flawed, as it treats project cash flows with two-sided uncertainty (upside and downside) using a single discount rate that only captures systematic risk, oversimplifying the probabilistic nature of real investments. Forecasting cash flows introduces substantial uncertainty, especially for long-term or innovative projects, where historical data is limited or unreliable, leading to overly optimistic projections that bias valuations upward. DCF also struggles with static discount rates that fail to account for evolving risks over time or managerial flexibility, such as options to delay or abandon projects, potentially undervaluing assets with high optionality. The model inherently biases against long-term investments by heavily discounting distant cash flows, which may discourage sustainable or high-impact initiatives despite their potential viability. Additional limitations include the exclusion of intangible factors, such as social or environmental impacts, and hidden costs that are not easily quantified in cash flow projections. While DCF can incorporate intangibles through adjusted cash flows, critics note that this often requires subjective premiums, increasing the risk of manipulation to align with preconceived values. Overall, these issues highlight DCF's dependence on high-quality, unbiased inputs, which are challenging to obtain in practice, limiting its reliability for complex or uncertain valuations.

Integrated Future Value

The integrated future value (IntFV) extends traditional discounted cash flow (DCF) analysis by incorporating (ESG) factors into the valuation of future cash flows, thereby addressing the limitations of purely financial metrics in capturing long-term impacts. This approach recognizes that investments generate value beyond monetary returns, including benefits such as reduced carbon emissions, enhanced employee productivity, and improved relations, which are often overlooked in standard DCF models. By integrating these elements, IntFV provides a more holistic assessment of an investment's worth, aligning financial decision-making with broader societal and ecological goals. In practice, IntFV builds on the core DCF framework, where future cash flows are projected and discounted to their , but adjusts the inputs to include ESG externalities. For instance, the —a measure of the economic damages associated with incremental carbon emissions—can be factored into projections to quantify environmental risks and opportunities. Similarly, non-financial impacts like and gains from sustainable practices (e.g., designs) are monetized and added to the valuation stream. This results in a modified (NPV) calculation, where the formula retains its structure—NPV = ∑ [C_t / (1 + r)^t]—but with C_t encompassing integrated financial and ESG-adjusted s, and r potentially reflecting a sustainability-adjusted . The concept of IntFV, alongside related metrics like the integrated rate of return (IntRR) and return on integration (ROInt), promotes a shift toward integrated practices that embed into core business strategies. For example, in evaluating university building retrofits, IntFV has been applied to assess how energy-efficient upgrades not only lower operational costs but also enhance occupant and reduce long-term environmental liabilities, yielding a comprehensive . This extension mitigates the short-term bias of conventional DCF by emphasizing and resilience against climate and social risks. Overall, IntFV supports decision-makers in pursuing investments that create enduring for businesses, communities, and the planet.

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