Seneca Foods (SENEA) Tax Provisions (2010 - 2026)
Seneca Foods (SENEA) recorded Tax Provisions of $6.53 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 35.4% from $4.83 million a year earlier but down 3.4% from the prior quarter.
Seneca Foods (SENEA) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Seneca Foods' Tax Provisions came in at $36.13 million as of Jun 27, 2026, up 153.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $34.42 million, up 159.6% from FY2025.
- Annual Tax Provisions has a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $13.26 million in FY2025 (-32.6%), $19.68 million in FY2024 (+331.4%), $4.56 million in FY2023 (-66.7%) and $13.7 million in FY2022 (-59.6%).
- Quarterly Tax Provisions has ranged from -$8.43 million in fiscal Q4 2023 to $13.87 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 132.7% over the last seven quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 601.1% in fiscal Q4 2026, against a decline of 67.4% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.77 million (Q4 2026), $13.87 million (Q3 2026) and $8.96 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 63.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Seneca Foods | 1.21 Bn | 1.02 Bn | 47.85 Mn | 6.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 6.53 Mn |
| Mar 31, 2026 | 6.77 Mn |
| Dec 27, 2025 | 13.87 Mn |
| Sep 27, 2025 | 8.96 Mn |
| Jun 28, 2025 | 4.83 Mn |
| Mar 31, 2025 | 965,000.00 |
| Dec 28, 2024 | 4.69 Mn |
| Sep 28, 2024 | 3.77 Mn |
| Jun 29, 2024 | 3.84 Mn |
| Mar 31, 2024 | -791,000.00 |
| Dec 30, 2023 | 5.52 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jul 1, 2023 | 7.15 Mn |
| Mar 31, 2023 | -8.43 Mn |
| Dec 31, 2022 | 6.50 Mn |
| Oct 1, 2022 | 4.86 Mn |
| Jul 2, 2022 | 1.63 Mn |
| Mar 31, 2022 | -72,000.00 |
| Jan 1, 2022 | 5.71 Mn |
| Oct 2, 2021 | 3.59 Mn |
Seneca Foods Tax Provisions 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=tax-provisions&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();