Cal-Maine Foods (CALM) Cash & Equivalents (2010 - 2026)
Cal-Maine Foods (CALM) recorded Cash & Equivalents of $113.54 million in fiscal Q1 2027 (quarter ended Aug 29, 2026), down 54.9% from $251.92 million a year earlier but up 5.9% from the prior quarter.
Cal-Maine Foods (CALM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Cal-Maine Foods reported Cash & Equivalents of $107.22 million, down 78.5% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $499.39 million in FY2025 (+109.9%), $237.88 million in FY2024 (-18.8%), $292.82 million in FY2023 (+395.6%) and $59.08 million in FY2022 (+3.0%).
- Quarterly Cash & Equivalents has ranged from $15.48 million in fiscal Q2 2022 to $499.39 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 16.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 715.3% in fiscal Q1 2023, against a decline of 78.5% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $107.22 million (Q4 2026), $392.16 million (Q3 2026) and $369.45 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.06 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 593.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 740.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 3.47 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 160.74 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 1.35 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 388.84 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 948.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 145.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 | 113.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 113.54 Mn |
| May 30, 2026 | 107.22 Mn |
| Feb 28, 2026 | 392.16 Mn |
| Nov 29, 2025 | 369.45 Mn |
| Aug 30, 2025 | 251.92 Mn |
| May 31, 2025 | 499.39 Mn |
| Mar 1, 2025 | 497.24 Mn |
| Nov 30, 2024 | 140.30 Mn |
| Aug 31, 2024 | 181.67 Mn |
| Jun 1, 2024 | 237.88 Mn |
| Mar 2, 2024 | 367.12 Mn |
| Dec 2, 2023 | 361.78 Mn |
| Sep 2, 2023 | 360.34 Mn |
| Jun 3, 2023 | 292.82 Mn |
| Feb 25, 2023 | 221.61 Mn |
| Nov 26, 2022 | 178.64 Mn |
| Aug 27, 2022 | 136.02 Mn |
| May 28, 2022 | 59.08 Mn |
| Feb 26, 2022 | 15.59 Mn |
| Nov 27, 2021 | 15.48 Mn |
Cal-Maine Foods Cash & Equivalents 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=cash-and-equivalents&ticker=CALM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();