Simply Good Foods (SMPL) Other Operating Expenses (2016 - 2026)
Simply Good Foods' Other Operating Expenses was $125.51 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 230.6% from $37.97 million a year earlier but down 55.4% from the prior quarter.
Simply Good Foods (SMPL) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Simply Good Foods' Other Operating Expenses was $539.06 million through May 30, 2026, up 238.2% year-over-year; for FY2025 (ended Aug 30, 2025), it was $195.21 million, up 35.6% from FY2024.
- Other Operating Expenses shows a four-year compound annual growth rate of 150.0% (FY2021 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $143.93 million in FY2024 and $5 million in FY2021.
- Quarterly Other Operating Expenses has moved between $28.53 million (fiscal Q1 2023) and $281.48 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in six of the last eight quarters, with growth averaging 122.8%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2026 (growth of 617.6%); the worst was fiscal Q1 2026 (a decline of 7.7%).
- Per Business Quant data, SMPL's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $281.48 million (Q2 2026), $34.31 million (Q1 2026) and $97.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Simply Good Foods | 839.49 Mn | 315.64 Mn | 116.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 125.51 Mn |
| Feb 28, 2026 | 281.48 Mn |
| Nov 29, 2025 | 34.31 Mn |
| Aug 30, 2025 | 97.76 Mn |
| May 31, 2025 | 37.97 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 |
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();