Cal-Maine Foods (CALM) Total Liabilities (2011 - 2026)
Cal-Maine Foods' Total Liabilities was $467.04 million in fiscal Q4 2026 (quarter ended May 30, 2026), down 9.9% from $518.6 million a year earlier but up 8.1% from the prior quarter.
Cal-Maine Foods (CALM) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Cal-Maine Foods has reported Total Liabilities for 61 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 16.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $518.6 million in FY2025 (+33.8%), $387.72 million in FY2024 (+12.4%), $344.94 million in FY2023 (+6.7%) and $323.14 million in FY2022 (+49.3%).
- Quarterly Total Liabilities has moved between $216.16 million (fiscal Q1 2022) and $694.06 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 19.3%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 88.9%); the worst was fiscal Q3 2026 (a decline of 37.7%).
- Per Business Quant data, CALM's Total Liabilities in the three fiscal quarters before Q4 2026 was $432.13 million (Q3 2026), $446.3 million (Q2 2026) and $494.48 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn | 467.04 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 467.04 Mn |
| Feb 28, 2026 | 432.13 Mn |
| Nov 29, 2025 | 446.30 Mn |
| Aug 30, 2025 | 494.48 Mn |
| May 31, 2025 | 518.60 Mn |
| Mar 1, 2025 | 694.06 Mn |
| Nov 30, 2024 | 438.62 Mn |
| Aug 31, 2024 | 490.95 Mn |
| Jun 1, 2024 | 387.72 Mn |
| Mar 2, 2024 | 412.57 Mn |
| Dec 2, 2023 | 342.84 Mn |
| Sep 2, 2023 | 289.04 Mn |
| Jun 3, 2023 | 344.94 Mn |
| Feb 25, 2023 | 457.60 Mn |
| Nov 26, 2022 | 443.14 Mn |
| Aug 27, 2022 | 366.77 Mn |
| May 28, 2022 | 323.14 Mn |
| Feb 26, 2022 | 251.75 Mn |
| Nov 27, 2021 | 234.57 Mn |
| Aug 28, 2021 | 216.16 Mn |
Cal-Maine Foods Total 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-liabilities&ticker=CALM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CALM", "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-liabilities&ticker=CALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();