Simply Good Foods (SMPL) Operating Margin (2016 - 2026)
Simply Good Foods (SMPL) reported Operating Margin of -13.97% for fiscal Q3 2026 (quarter ended May 30, 2026), down 29.54 percentage points from 15.57% a year earlier but up 51.46 percentage points from the prior quarter.
Simply Good Foods (SMPL) Operating Margin (2016 - 2026) Analysis & Trends
Over the twelve months ended May 30, 2026, Simply Good Foods' Operating Margin came in at -17.05%, down 31.90 percentage points year-over-year; for FY2025 (ended Aug 30, 2025), it came in at 10.81%, down 4.70 percentage points from FY2024.
- Operating Margin has declined for three consecutive fiscal years, though with a five-year change of +1.23 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at 15.51% in FY2024 (-0.98 pp), 16.49% in FY2023 (-0.86 pp), 17.35% in FY2022 (+0.08 pp) and 17.27% in FY2021 (+7.69 pp).
- Five-year quarterly Operating Margin spans a low of -65.43% in fiscal Q2 2026 and a high of 20.62% in fiscal Q1 2022.
- Year over year, Operating Margin has now declined in each of the last eight quarters, with an average year-over-year change of -17.34 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2021 (a gain of 4.54 percentage points); the low point was fiscal Q2 2026 (a drop of 80.65 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -65.43% (Q2 2026), 11.05% (Q1 2026) and -3.19% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 2.76% |
| 10 | Simply Good Foods | 988.90 Mn | 465.05 Mn | 116.10 Mn | -13.97% |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -13.97% |
| Feb 28, 2026 | -65.43% |
| Nov 29, 2025 | 11.05% |
| Aug 30, 2025 | -3.19% |
| May 31, 2025 | 15.57% |
| Mar 1, 2025 | 15.21% |
| Nov 30, 2024 | 16.01% |
| Aug 31, 2024 | 12.73% |
| May 25, 2024 | 17.56% |
| Feb 24, 2024 | 15.40% |
| Nov 25, 2023 | 16.79% |
| Aug 26, 2023 | 17.40% |
| May 27, 2023 | 16.69% |
| Feb 25, 2023 | 14.33% |
| Nov 26, 2022 | 17.45% |
| Aug 27, 2022 | 15.88% |
| May 28, 2022 | 17.46% |
| Feb 26, 2022 | 15.49% |
| Nov 27, 2021 | 20.62% |
| Aug 28, 2021 | 15.71% |
Simply Good Foods Operating Margin 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-margin&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();