Simply Good Foods (SMPL) Total Current Liabilities (2016 - 2026)
Simply Good Foods' Total Current Liabilities came in at $96.78 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 12.6% from $110.72 million a year earlier but up 11.4% from the prior quarter.
Simply Good Foods (SMPL) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods' Total Current Liabilities was $124.56 million, up 14.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $108.62 million in FY2024 (+20.9%), $89.86 million in FY2023 (-12.1%), $102.25 million in FY2022 (-10.0%) and $113.66 million in FY2021 (+59.0%).
- The five-year range for quarterly Total Current Liabilities is $71.28 million (fiscal Q3 2023) to $124.56 million (fiscal Q4 2025).
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2021 (growth of 59.0%), and the weakest in fiscal Q3 2023 (a decline of 40.7%).
- Business Quant data shows SMPL's Total Current Liabilities at $86.88 million (Q2 2026), $102.62 million (Q1 2026) and $124.56 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn | 96.78 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 28, 2021 | 113.66 Mn |
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_KEY
import 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();