Cal-Maine Foods (CALM) EBITDA (2010 - 2026)
Cal-Maine Foods' EBITDA came in at -$48.63 million for fiscal Q1 2027 (quarter ended Aug 29, 2026), compared with $278.85 million a year earlier.
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Analysis
Cal-Maine Foods (CALM) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 29, 2026, Cal-Maine Foods reported EBITDA of $147.05 million, down 91.4% year-over-year; for FY2026 (ended May 30, 2026), it was $474.53 million, down 70.9% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 70.2% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $1.63 billion in FY2025 (+315.2%), $392.69 million in FY2024 (-62.2%), $1.04 billion in FY2023 (+390.7%) and $211.93 million in FY2022 (+538.1%).
- The fiscal Q1 2027 figure represents the lowest quarterly EBITDA since fiscal Q1 2020.
- Year-over-year, EBITDA increased in four of the last six quarters, with growth averaging 186.3%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2025 (growth of 780.3%), and the weakest in fiscal Q1 2024 (a decline of 93.1%).
- Business Quant data shows CALM's EBITDA at -$24.76 million (Q4 2026), $66.47 million (Q3 2026) and $153.98 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.51 Bn | 34.51 Bn | 1.94 Bn | 1.19 Bn |
| 2 | Bunge Global | 19.78 Bn | 15.90 Bn | 1.68 Bn | 1.33 Bn |
| 3 | Tyson Foods | 19.64 Bn | 15.89 Bn | 921.00 Mn | 691.00 Mn |
| 4 | Jbs | 13.32 Bn | -19.95 Bn | 2.59 Bn | 1.24 Bn |
| 5 | Darling Ingredients | 9.40 Bn | 8.94 Bn | 503.37 Mn | 686.72 Mn |
| 6 | Smithfield Foods | 7.19 Bn | 2.14 Bn | 478.00 Mn | 375.00 Mn |
| 7 | Pilgrims Pride | 6.60 Bn | 4.41 Bn | 339.75 Mn | 190.73 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 243.00 Mn |
| 9 | Seaboard | 3.62 Bn | -1.23 Bn | 221.00 Mn | 183.00 Mn |
| 10 | Cal-Maine Foods | 2.83 Bn | 1.85 Bn | 403,000.00 | -48.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | -48.63 Mn |
| May 30, 2026 | -24.76 Mn |
| Feb 28, 2026 | 66.47 Mn |
| Nov 29, 2025 | 153.98 Mn |
| Aug 30, 2025 | 278.85 Mn |
| May 31, 2025 | 460.44 Mn |
| Mar 1, 2025 | 659.28 Mn |
| Nov 30, 2024 | 301.83 Mn |
| Aug 31, 2024 | 209.01 Mn |
| Jun 1, 2024 | 163.28 Mn |
| Mar 2, 2024 | 182.54 Mn |
| Dec 2, 2023 | 34.29 Mn |
| Sep 2, 2023 | 12.58 Mn |
| Jun 3, 2023 | 155.26 Mn |
| Feb 25, 2023 | 426.25 Mn |
| Nov 26, 2022 | 277.29 Mn |
| Aug 27, 2022 | 181.16 Mn |
| May 28, 2022 | 163.10 Mn |
| Feb 26, 2022 | 56.60 Mn |
| Nov 27, 2021 | 14.52 Mn |
API Access
Cal-Maine Foods EBITDA 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=ebitda&ticker=CALM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();