Seneca Foods (SENEA) Depreciation and Depletion (2021 - 2026)
Seneca Foods (SENEA) posted Depreciation and Depletion of $9.8 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 2.0% from $10 million a year earlier and unchanged from the prior quarter.
Seneca Foods (SENEA) Depreciation and Depletion (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Depreciation and Depletion at Seneca Foods was $39.8 million, down 2.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $40 million, down 0.2% from FY2025.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Depreciation and Depletion was $40.1 million in FY2025 (+9.0%), $36.8 million in FY2024 (+8.6%), $33.9 million in FY2023 (+12.3%) and $30.2 million in FY2022 (+11.4%).
- Quarterly Depreciation and Depletion has run from a low of $7.5 million in fiscal Q2 2022 to a high of $10.5 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last three quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2023, with growth of 14.3%; the weakest was fiscal Q3 2026, with a decline of 5.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $9.8 million (Q4 2026), $9.9 million (Q3 2026) and $10.3 million (Q2 2026).
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 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn | 9.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 9.80 Mn |
| Mar 31, 2026 | 9.80 Mn |
| Dec 27, 2025 | 9.90 Mn |
| Sep 27, 2025 | 10.30 Mn |
| Jun 28, 2025 | 10.00 Mn |
| Mar 31, 2025 | 10.20 Mn |
| Dec 28, 2024 | 10.50 Mn |
| Sep 28, 2024 | 9.90 Mn |
| Jun 29, 2024 | 9.60 Mn |
| Mar 31, 2024 | 9.40 Mn |
| Dec 30, 2023 | 9.30 Mn |
| Sep 30, 2023 | 9.30 Mn |
| Jul 1, 2023 | 8.80 Mn |
| Mar 31, 2023 | 8.80 Mn |
| Dec 31, 2022 | 8.70 Mn |
| Oct 1, 2022 | 8.30 Mn |
| Jul 2, 2022 | 8.10 Mn |
| Mar 31, 2022 | 7.70 Mn |
| Jan 1, 2022 | 7.90 Mn |
| Oct 2, 2021 | 7.50 Mn |
Seneca Foods 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=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SENEA", "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=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();