Simply Good Foods (SMPL) Net Income (2016 - 2026)
Simply Good Foods (SMPL) posted Net Income of -$54.94 million for fiscal Q3 2026 (quarter ended May 30, 2026), compared with $54.74 million a year earlier.
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Analysis
Simply Good Foods (SMPL) Net Income (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, Net Income at Simply Good Foods was -$201.72 million; for FY2025 (ended Aug 30, 2025), it was $103.61 million, down 25.6% from FY2024.
- Annual Net Income shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Net Income was $139.31 million in FY2024 (+4.3%), $133.58 million in FY2023 (+23.0%), $108.57 million in FY2022 (+165.6%) and $40.88 million in FY2021 (-37.7%).
- Quarterly Net Income has run from a low of -$159.7 million in fiscal Q2 2026 to a high of $54.74 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Net Income increased in three of the last five quarters, with an average decline of 4.5%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q3 2022, with growth of 558.8%; the weakest was fiscal Q1 2022, with a decline of 50.8%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was -$159.7 million (Q2 2026), $25.27 million (Q1 2026) and -$12.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.55 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 398.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 160.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Simply Good Foods | 839.49 Mn | 315.64 Mn | 116.10 Mn | -54.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -54.94 Mn |
| Feb 28, 2026 | -159.70 Mn |
| Nov 29, 2025 | 25.27 Mn |
| Aug 30, 2025 | -12.36 Mn |
| May 31, 2025 | 54.74 Mn |
| Mar 1, 2025 | 36.75 Mn |
| Nov 30, 2024 | 47.68 Mn |
| Aug 31, 2024 | 29.29 Mn |
| May 25, 2024 | 41.33 Mn |
| Feb 24, 2024 | 33.12 Mn |
| Nov 25, 2023 | 47.11 Mn |
| Aug 26, 2023 | 36.64 Mn |
| May 27, 2023 | 47.15 Mn |
| Feb 25, 2023 | 34.04 Mn |
| Nov 26, 2022 | 45.56 Mn |
| Aug 27, 2022 | 30.13 Mn |
| May 28, 2022 | 38.83 Mn |
| Feb 26, 2022 | 18.46 Mn |
| Nov 27, 2021 | 21.15 Mn |
| Aug 28, 2021 | 18.25 Mn |
API Access
Simply Good Foods Net Income 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=net-income&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();