Simply Good Foods (SMPL) Net Margin (2016 - 2026)
Simply Good Foods (SMPL) posted Net Margin of -14.56% for fiscal Q3 2026 (quarter ended May 30, 2026), down 25.35 percentage points from 10.79% a year earlier but up 34.43 percentage points from the prior quarter.
Simply Good Foods (SMPL) Net Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, Net Margin at Simply Good Foods was -14.28%, down 24.24 percentage points year-over-year; for FY2025 (ended Aug 30, 2025), it came in at 7.14%, down 3.32 percentage points from FY2024.
- Annual Net Margin shows a five-year change of -0.90 percentage points (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Net Margin was 10.46% in FY2024 (-0.29 pp), 10.75% in FY2023 (+1.46 pp), 9.29% in FY2022 (+5.23 pp) and 4.07% in FY2021 (-3.97 pp).
- Quarterly Net Margin has run from a low of -48.99% in fiscal Q2 2026 to a high of 12.35% in fiscal Q3 2024 over five years.
- On a year-over-year basis, Net Margin has declined in each of the last eight quarters, with an average year-over-year change of -13.17 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Net Margin in the past five years was fiscal Q4 2021, with a gain of 24.70 percentage points; the weakest was fiscal Q2 2026, with a drop of 59.20 percentage points.
- According to Business Quant data, Net Margin for the three prior fiscal quarters was -48.99% (Q2 2026), 7.43% (Q1 2026) and -3.35% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.69 Bn | 92.15 Bn | - | - |
| 2 | Mondelez International | 80.28 Bn | 73.54 Bn | 3.99 Bn | 16.55% |
| 3 | Hershey | 33.88 Bn | 30.12 Bn | 1.26 Bn | 16.42% |
| 4 | Kraft Heinz | 27.89 Bn | 14.31 Bn | 2.03 Bn | -87.19% |
| 5 | General Mills | 17.55 Bn | 15.20 Bn | 1.49 Bn | 9.04% |
| 6 | J M Smucker | 13.62 Bn | 13.41 Bn | 979.60 Mn | 14.61% |
| 7 | Mccormick | 12.45 Bn | 11.51 Bn | 794.90 Mn | 4.82% |
| 8 | Hormel Foods | 11.24 Bn | 7.91 Bn | 471.52 Mn | 2.01% |
| 9 | Chewy | 8.67 Bn | 5.95 Bn | 1.01 Bn | 2.42% |
| 10 | Simply Good Foods | 942.13 Mn | 418.28 Mn | 116.10 Mn | -14.56% |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -14.56% |
| Feb 28, 2026 | -48.99% |
| Nov 29, 2025 | 7.43% |
| Aug 30, 2025 | -3.35% |
| May 31, 2025 | 10.79% |
| Mar 1, 2025 | 10.22% |
| Nov 30, 2024 | 11.17% |
| Aug 31, 2024 | 7.80% |
| May 25, 2024 | 12.35% |
| Feb 24, 2024 | 10.61% |
| Nov 25, 2023 | 11.52% |
| Aug 26, 2023 | 11.44% |
| May 27, 2023 | 10.91% |
| Feb 25, 2023 | 8.65% |
| Nov 26, 2022 | 11.92% |
| Aug 27, 2022 | 10.99% |
| May 28, 2022 | 12.27% |
| Feb 26, 2022 | 6.22% |
| Nov 27, 2021 | 7.52% |
| Aug 28, 2021 | 7.02% |
Simply Good Foods Net 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=net-margin&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();