Simply Good Foods (SMPL) EBIT (2016 - 2026)
Simply Good Foods (SMPL) posted EBIT of -$49.86 million for fiscal Q3 2026 (quarter ended May 30, 2026), compared with $59.32 million a year earlier.
Simply Good Foods (SMPL) EBIT (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, EBIT at Simply Good Foods was -$237.38 million; for FY2025 (ended Aug 30, 2025), it came in at $156.89 million, down 24.0% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' EBIT was $206.5 million in FY2024 (+0.8%), $204.95 million in FY2023 (+1.1%), $202.76 million in FY2022 (+16.7%) and $173.68 million in FY2021 (+122.0%).
- Quarterly EBIT has run from a low of -$213.32 million in fiscal Q2 2026 to a high of $59.32 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, EBIT increased in three of the last five quarters, with an average decline of 5.1%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2021, with growth of 64.4%; the weakest was fiscal Q1 2026, with a decline of 31.2%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was -$213.32 million (Q2 2026), $37.58 million (Q1 2026) and -$11.78 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 633.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 276.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 511.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn | -49.86 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -49.86 Mn |
| Feb 28, 2026 | -213.32 Mn |
| Nov 29, 2025 | 37.58 Mn |
| Aug 30, 2025 | -11.78 Mn |
| May 31, 2025 | 59.32 Mn |
| Mar 1, 2025 | 54.72 Mn |
| Nov 30, 2024 | 54.63 Mn |
| Aug 31, 2024 | 47.82 Mn |
| May 25, 2024 | 58.77 Mn |
| Feb 24, 2024 | 48.08 Mn |
| Nov 25, 2023 | 51.82 Mn |
| Aug 26, 2023 | 55.75 Mn |
| May 27, 2023 | 54.21 Mn |
| Feb 25, 2023 | 42.51 Mn |
| Nov 26, 2022 | 52.49 Mn |
| Aug 27, 2022 | 43.53 Mn |
| May 28, 2022 | 55.28 Mn |
| Feb 26, 2022 | 45.95 Mn |
| Nov 27, 2021 | 58.01 Mn |
| Aug 28, 2021 | 40.83 Mn |
Simply Good Foods EBIT 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=ebit&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();