Unilever (UL) Depreciation & Amortization (CF) (2009 - 2024)
Unilever's Depreciation & Amortization (CF) was $1.53 billion in FY2025, up 3.1% from $1.48 billion in FY2024.
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Analysis
Unilever (UL) Depreciation & Amortization (CF) (2009 - 2024) Analysis & Trends
From FY2009 onward, Unilever has reported Depreciation & Amortization (CF) for 17 years.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Depreciation & Amortization (CF) since FY2022.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier years was $1.48 billion in FY2024 (+19.4%), $1.24 billion in FY2023 (-39.5%), $2.05 billion in FY2022 (-1.7%) and $2.09 billion in FY2021 (-9.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 350.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 136.10 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 261.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 73.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 97.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.46 Bn |
| Dec 31, 2009 | 440.07 Mn |
| Sep 30, 2009 | 338.93 Mn |
| Mar 31, 2009 | 341.32 Mn |
API Access
Unilever 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=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "UL", "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=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();