Darling Ingredients (DAR) Depreciation & Amortization (CF) (2009 - 2026)
Darling Ingredients' Depreciation & Amortization (CF) came in at $135.67 million for Q3 2027, up 9.4% from $124.06 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Darling Ingredients (DAR) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Oct 3, 2026, Darling Ingredients reported Depreciation & Amortization (CF) of $536.3 million, up 7.9% year-over-year; for FY2026, it was $508.5 million.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by year, Depreciation & Amortization (CF) was $503.83 million in FY2024 (+0.4%), $502.02 million in FY2023 (+27.2%) and $394.72 million in FY2022 (+24.8%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $121.06 million (Q2 2026) to $139.54 million (Q4 2026).
- Year-over-year, Depreciation & Amortization (CF) has increased for three consecutive quarters.
- Business Quant data shows DAR's Depreciation & Amortization (CF) at $130.18 million (Q2 2027), $130.91 million (Q1 2027) and $139.54 million (Q4 2026) in the three quarters before Q3 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 295.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 329.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 248.00 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 660.38 Mn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 135.67 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 86.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 123.22 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 55.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 135.67 Mn |
| Jul 4, 2026 | 130.18 Mn |
| Apr 4, 2026 | 130.91 Mn |
| Jan 3, 2026 | 139.54 Mn |
| Sep 27, 2025 | 124.06 Mn |
| Jun 28, 2025 | 121.06 Mn |
| Mar 29, 2025 | 123.84 Mn |
| Dec 28, 2024 | 128.16 Mn |
| Sep 28, 2024 | 123.55 Mn |
| Jun 29, 2024 | 124.61 Mn |
| Mar 30, 2024 | 127.51 Mn |
| Dec 30, 2023 | 137.93 Mn |
| Sep 30, 2023 | 125.99 Mn |
| Jul 1, 2023 | 122.09 Mn |
| Apr 1, 2023 | 116.01 Mn |
| Dec 31, 2022 | 117.38 Mn |
| Oct 1, 2022 | 104.98 Mn |
| Jul 2, 2022 | 93.11 Mn |
| Apr 2, 2022 | 79.25 Mn |
| Jan 1, 2022 | 62.68 Mn |
API Access
Darling Ingredients Depreciation & Amortization (CF) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "DAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();