Seneca Foods (SENEA) Capital Expenditures (2014 - 2026)
Seneca Foods (SENEA) posted Capital Expenditures of $17.18 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 52.2% from $11.29 million a year earlier but down 0.6% from the prior quarter.
Seneca Foods (SENEA) Capital Expenditures (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Capital Expenditures at Seneca Foods was $50.21 million, up 37.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $44.32 million, up 19.1% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -9.1% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Capital Expenditures was $37.23 million in FY2025 (+1.6%), $36.64 million in FY2024 (-48.1%), $70.63 million in FY2023 (+32.3%) and $53.37 million in FY2022 (-25.3%).
- Quarterly Capital Expenditures has run from a low of $4.79 million in fiscal Q4 2024 to a high of $22.64 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 33.9%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q3 2023, with growth of 176.0%; the weakest was fiscal Q3 2024, with a decline of 76.2%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $17.29 million (Q4 2026), $8.2 million (Q3 2026) and $7.55 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 342.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 89.83 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 189.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 90.50 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 42.70 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 88.40 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 68.16 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 47.90 Mn |
| 10 | Seneca Foods | 1.23 Bn | 1.04 Bn | 47.85 Mn | 17.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.18 Mn |
| Mar 31, 2026 | 17.29 Mn |
| Dec 27, 2025 | 8.20 Mn |
| Sep 27, 2025 | 7.55 Mn |
| Jun 28, 2025 | 11.29 Mn |
| Mar 31, 2025 | 10.49 Mn |
| Dec 28, 2024 | 9.07 Mn |
| Sep 28, 2024 | 5.58 Mn |
| Jun 29, 2024 | 12.07 Mn |
| Mar 31, 2024 | 4.79 Mn |
| Dec 30, 2023 | 5.39 Mn |
| Sep 30, 2023 | 11.71 Mn |
| Jul 1, 2023 | 14.74 Mn |
| Mar 31, 2023 | 14.12 Mn |
| Dec 31, 2022 | 22.64 Mn |
| Oct 1, 2022 | 14.64 Mn |
| Jul 2, 2022 | 19.23 Mn |
| Mar 31, 2022 | 16.93 Mn |
| Jan 1, 2022 | 8.20 Mn |
| Oct 2, 2021 | 15.01 Mn |
Seneca Foods Capital Expenditures 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=capital-expenditures&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();