Simply Good Foods (SMPL) Tax Provisions (2016 - 2026)
Simply Good Foods (SMPL) reported Tax Provisions of -$2.96 million for fiscal Q3 2026 (quarter ended May 30, 2026), compared with $13.64 million a year earlier.
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Analysis
Simply Good Foods (SMPL) Tax Provisions (2016 - 2026) Analysis & Trends
Over the twelve months ended May 30, 2026, Simply Good Foods' Tax Provisions came in at -$55.87 million; for FY2025 (ended Aug 30, 2025), it came in at $32.29 million, down 30.9% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $46.74 million in FY2024 (+11.0%), $42.12 million in FY2023 (+0.3%), $42 million in FY2022 (+5.0%) and $39.98 million in FY2021 (+200.0%).
- Five-year quarterly Tax Provisions spans a low of -$58.32 million in fiscal Q2 2026 and a high of $13.64 million in fiscal Q3 2025.
- Year over year, Tax Provisions gained in two of the last five quarters, with an average decline of 2.6%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2021 (growth of 74.6%); the low point was fiscal Q1 2023 (a decline of 24.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$58.32 million (Q2 2026), $8.55 million (Q1 2026) and -$3.14 million (Q4 2025).
Peer Set
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 | Simply Good Foods | 839.49 Mn | 315.64 Mn | 116.10 Mn | -2.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -2.96 Mn |
| Feb 28, 2026 | -58.32 Mn |
| Nov 29, 2025 | 8.55 Mn |
| Aug 30, 2025 | -3.14 Mn |
| May 31, 2025 | 13.64 Mn |
| Mar 1, 2025 | 12.23 Mn |
| Nov 30, 2024 | 9.55 Mn |
| Aug 31, 2024 | 11.55 Mn |
| May 25, 2024 | 13.38 Mn |
| Feb 24, 2024 | 10.27 Mn |
| Nov 25, 2023 | 11.55 Mn |
| Aug 26, 2023 | 12.31 Mn |
| May 27, 2023 | 11.72 Mn |
| Feb 25, 2023 | 8.40 Mn |
| Nov 26, 2022 | 9.70 Mn |
| Aug 27, 2022 | 7.27 Mn |
| May 28, 2022 | 11.65 Mn |
| Feb 26, 2022 | 10.25 Mn |
| Nov 27, 2021 | 12.82 Mn |
| Aug 28, 2021 | 8.89 Mn |
API Access
Simply Good 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=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "SMPL", "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=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();