Simply Good Foods (SMPL) EBITDA (2016 - 2026)
Simply Good Foods' EBITDA came in at -$43.84 million for fiscal Q3 2026 (quarter ended May 30, 2026), compared with $64.67 million a year earlier.
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Analysis
Simply Good Foods (SMPL) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to May 30, 2026, Simply Good Foods reported EBITDA of -$213.33 million; for FY2025 (ended Aug 30, 2025), it was $178.32 million, down 21.6% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $227.49 million in FY2024 (+1.0%), $225.2 million in FY2023 (+1.4%), $222.06 million in FY2022 (+15.7%) and $191.85 million in FY2021 (+103.6%).
- The five-year range for quarterly EBITDA is -$207.45 million (fiscal Q2 2026) to $64.67 million (fiscal Q3 2025).
- Year-over-year, EBITDA increased in three of the last five quarters, with an average decline of 4.5%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2021 (growth of 55.6%), and the weakest in fiscal Q1 2026 (a decline of 26.6%).
- Business Quant data shows SMPL's EBITDA at -$207.45 million (Q2 2026), $43.79 million (Q1 2026) and -$5.83 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Simply Good Foods | 957.42 Mn | 433.57 Mn | 116.10 Mn | -43.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -43.67 Mn |
| Feb 28, 2026 | -207.29 Mn |
| Nov 29, 2025 | 43.94 Mn |
| Aug 30, 2025 | -5.68 Mn |
| May 31, 2025 | 65.05 Mn |
| Mar 1, 2025 | 60.25 Mn |
| Nov 30, 2024 | 60.18 Mn |
| Aug 31, 2024 | 53.77 Mn |
| May 25, 2024 | 64.07 Mn |
| Feb 24, 2024 | 53.88 Mn |
| Nov 25, 2023 | 57.81 Mn |
| Aug 26, 2023 | 61.71 Mn |
| May 27, 2023 | 60.14 Mn |
| Feb 25, 2023 | 48.14 Mn |
| Nov 26, 2022 | 57.97 Mn |
| Aug 27, 2022 | 48.91 Mn |
| May 28, 2022 | 60.84 Mn |
| Feb 26, 2022 | 51.29 Mn |
| Nov 27, 2021 | 63.57 Mn |
| Aug 28, 2021 | 46.68 Mn |
API Access
Simply Good Foods EBITDA 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=ebitda&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();