Lamb Weston Holdings (LW) Depreciation and Depletion (2015 - 2026)
Lamb Weston Holdings' Depreciation and Depletion was $91.2 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 6.5% from $85.6 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Lamb Weston Holdings (LW) Depreciation and Depletion (2015 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Depreciation and Depletion at Lamb Weston Holdings came in at $355.4 million, up 4.9% from FY2025.
- Depreciation and Depletion has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $338.7 million in FY2025 (+21.7%), $278.2 million in FY2024 (+31.7%), $211.3 million in FY2023 (+16.4%) and $181.5 million in FY2022 (+2.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Depreciation and Depletion since fiscal Q2 2025.
- Compared with a year earlier, Depreciation and Depletion was higher in seven of the last eight quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q2 2025 (growth of 68.7%); the worst was fiscal Q2 2026 (a decline of 20.3%).
- Per Business Quant data, LW's Depreciation and Depletion in the three fiscal quarters before Q4 2026 was $88.6 million (Q3 2026), $89.4 million (Q2 2026) and $86.2 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Lamb Weston Holdings | 6.00 Bn | 5.69 Bn | 361.40 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 91.20 Mn |
| Feb 22, 2026 | 88.60 Mn |
| Nov 23, 2025 | 89.40 Mn |
| Aug 24, 2025 | 86.20 Mn |
| May 25, 2025 | 85.60 Mn |
| Feb 23, 2025 | 88.00 Mn |
| Nov 24, 2024 | 112.20 Mn |
| Aug 25, 2024 | 81.90 Mn |
| May 26, 2024 | 75.10 Mn |
| Feb 25, 2024 | 70.70 Mn |
| Nov 26, 2023 | 66.50 Mn |
| Aug 27, 2023 | 65.90 Mn |
| May 28, 2023 | 65.50 Mn |
| Feb 26, 2023 | 48.80 Mn |
| Nov 27, 2022 | 49.70 Mn |
| Aug 28, 2022 | 47.30 Mn |
| May 29, 2022 | 47.00 Mn |
| Feb 27, 2022 | 45.30 Mn |
| Nov 28, 2021 | 44.70 Mn |
| Aug 29, 2021 | 44.50 Mn |
API Access
Lamb Weston Holdings Depreciation and Depletion 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-depletion&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "LW", "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-depletion&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();