Simply Good Foods (SMPL) Total Current Liabilities (2016 - 2026)
Simply Good Foods' Total Current Liabilities came in at $77.77 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 37.6% from $124.56 million a year earlier and down 19.6% from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Total Current Liabilities (2016 - 2026) Analysis & Trends
Going back to fiscal Q4 2016, Simply Good Foods' Total Current Liabilities data covers 38 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of -7.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $124.56 million in FY2025 (+14.7%), $108.62 million in FY2024 (+20.9%), $89.86 million in FY2023 (-12.1%) and $102.25 million in FY2022 (-10.0%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Current Liabilities since fiscal Q3 2023.
- Year-over-year, Total Current Liabilities has declined for four consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q2 2022 (growth of 33.6%), and the weakest in fiscal Q3 2023 (a decline of 40.7%).
- Business Quant data shows SMPL's Total Current Liabilities at $96.78 million (Q3 2026), $86.88 million (Q2 2026) and $102.62 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | 33.00 Bn |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 22.40 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 3.12 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 8.49 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 4.42 Bn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Simply Good Foods | 1.15 Bn | 582.08 Mn | 113.33 Mn | 77.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 77.77 Mn |
| May 30, 2026 | 96.78 Mn |
| Feb 28, 2026 | 86.88 Mn |
| Nov 29, 2025 | 102.62 Mn |
| Aug 30, 2025 | 124.56 Mn |
| May 31, 2025 | 110.72 Mn |
| Mar 1, 2025 | 104.15 Mn |
| Nov 30, 2024 | 104.99 Mn |
| Aug 31, 2024 | 108.62 Mn |
| May 25, 2024 | 92.70 Mn |
| Feb 24, 2024 | 103.66 Mn |
| Nov 25, 2023 | 78.99 Mn |
| Aug 26, 2023 | 89.86 Mn |
| May 27, 2023 | 71.28 Mn |
| Feb 25, 2023 | 80.40 Mn |
| Nov 26, 2022 | 80.91 Mn |
| Aug 27, 2022 | 102.25 Mn |
| May 28, 2022 | 120.29 Mn |
| Feb 26, 2022 | 107.66 Mn |
| Nov 27, 2021 | 80.77 Mn |
API Access
Simply Good Foods Total Current Liabilities 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=total-current-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();