Simply Good Foods (SMPL) Operating Expenses (2016 - 2026)
Simply Good Foods (SMPL) posted Operating Expenses of $165.96 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 109.6% from $79.2 million a year earlier but down 47.5% from the prior quarter.
Simply Good Foods (SMPL) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, Operating Expenses at Simply Good Foods was $693.01 million, up 110.9% year-over-year; for FY2025 (ended Aug 30, 2025), it was $368.86 million, up 20.9% from FY2024.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Operating Expenses was $305.07 million in FY2024 (+22.8%), $248.47 million in FY2023 (+2.3%), $242.8 million in FY2022 (+2.8%) and $236.09 million in FY2021 (-4.1%).
- Quarterly Operating Expenses has run from a low of $58.31 million in fiscal Q4 2022 to a high of $316.35 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 69.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 319.5%; the weakest was fiscal Q4 2022, with a decline of 8.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $316.35 million (Q2 2026), $72.32 million (Q1 2026) and $138.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn | 165.96 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 165.96 Mn |
| Feb 28, 2026 | 316.35 Mn |
| Nov 29, 2025 | 72.32 Mn |
| Aug 30, 2025 | 138.38 Mn |
| May 31, 2025 | 79.20 Mn |
| Mar 1, 2025 | 75.42 Mn |
| Nov 30, 2024 | 75.86 Mn |
| Aug 31, 2024 | 98.13 Mn |
| May 25, 2024 | 74.85 Mn |
| Feb 24, 2024 | 68.79 Mn |
| Nov 25, 2023 | 63.30 Mn |
| Aug 26, 2023 | 64.70 Mn |
| May 27, 2023 | 65.04 Mn |
| Feb 25, 2023 | 60.23 Mn |
| Nov 26, 2022 | 58.50 Mn |
| Aug 27, 2022 | 58.31 Mn |
| May 28, 2022 | 63.37 Mn |
| Feb 26, 2022 | 62.57 Mn |
| Nov 27, 2021 | 58.55 Mn |
| Aug 28, 2021 | 63.63 Mn |
Simply Good Foods 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=operating-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();