Simply Good Foods (SMPL) Consolidated Net Income (2016 - 2026)
Simply Good Foods' Consolidated Net Income was -$54.94 million in fiscal Q3 2026 (quarter ended May 30, 2026), compared with $54.74 million a year earlier.
Simply Good Foods (SMPL) Consolidated Net Income (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Simply Good Foods' Consolidated Net Income was -$201.72 million through May 30, 2026; for FY2025 (ended Aug 30, 2025), it came in at $103.61 million, down 25.6% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In earlier fiscal years, Consolidated 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 Consolidated Net Income has moved between -$159.7 million (fiscal Q2 2026) and $54.74 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Consolidated Net Income was higher in three of the last five quarters, with an average decline of 4.5%.
- The best year-over-year quarter for Consolidated Net Income over five years was fiscal Q3 2022 (growth of 558.8%); the worst was fiscal Q1 2022 (a decline of 50.8%).
- Per Business Quant data, SMPL's Consolidated Net Income in the three fiscal quarters before Q3 2026 was -$159.7 million (Q2 2026), $25.27 million (Q1 2026) and -$12.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.55 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 398.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 107.60 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Simply Good Foods | 869.57 Mn | 345.72 Mn | 116.10 Mn | -54.94 Mn |
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 |
Simply Good Foods Consolidated 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=consolidated-net-income&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();