Simply Good Foods (SMPL) Other Operating Expenses (2016 - 2026)
Simply Good Foods (SMPL) posted Other Operating Expenses of $39.17 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 15.9% from $33.8 million a year earlier and up 39.1% from the prior quarter.
Simply Good Foods (SMPL) Other Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, Other Operating Expenses at Simply Good Foods was $133.85 million, down 8.9% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $134.28 million, down 6.7% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Other Operating Expenses was $143.93 million in FY2024 (+20.5%), $119.49 million in FY2023 (-1.8%), $121.69 million in FY2022 (+8.4%) and $112.24 million in FY2021 (+18.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2023, with growth of 31.1%; the weakest was fiscal Q2 2026, with a decline of 19.7%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $28.17 million (Q2 2026), $29.68 million (Q1 2026) and $36.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Simply Good Foods | 1.10 Bn | 534.79 Mn | 113.33 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 82.00 Mn |
| Feb 28, 2026 | 249.00 Mn |
| Nov 29, 2025 | 34.31 Mn |
| Aug 30, 2025 | 60.93 Mn |
| Mar 1, 2025 | 39.23 Mn |
| Nov 30, 2024 | 37.15 Mn |
| Aug 31, 2024 | 45.04 Mn |
| May 25, 2024 | 40.61 Mn |
| Feb 24, 2024 | 38.85 Mn |
| Nov 25, 2023 | 36.35 Mn |
| Aug 26, 2023 | 35.22 Mn |
| May 27, 2023 | 34.53 Mn |
| Feb 25, 2023 | 34.29 Mn |
| Nov 26, 2022 | 28.53 Mn |
| Feb 26, 2022 | 31.96 Mn |
| Nov 27, 2021 | 30.53 Mn |
| May 29, 2021 | 5.00 Mn |
| Feb 27, 2021 | 26.15 Mn |
| Nov 28, 2020 | 25.20 Mn |
| Nov 24, 2018 | 533,000.00 |
Simply Good Foods Other Operating Expenses 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=other-operating-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();