Post Holdings (POST) EBITDA (2010 - 2026)
Post Holdings (POST) recorded EBITDA of $322.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 12.0% from $366.8 million a year earlier and down 7.8% from the prior quarter.
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Analysis
Post Holdings (POST) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Post Holdings' EBITDA came in at $1.38 billion as of Jun 30, 2026, up 4.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.32 billion, up 4.2% from FY2024.
- Annual EBITDA has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $1.27 billion in FY2024 (+26.3%), $1.01 billion in FY2023 (+26.4%), $795.8 million in FY2022 (-6.8%) and $854.2 million in FY2021 (-3.1%).
- Quarterly EBITDA has ranged from $174.6 million in fiscal Q1 2022 to $390.9 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 6.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 113.8% in fiscal Q4 2021, against a decline of 32.9% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $350.1 million (Q2 2026), $390.9 million (Q1 2026) and $314.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 143.42 Bn | 94.88 Bn | - | - |
| 2 | Mondelez International | 82.21 Bn | 75.48 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 34.22 Bn | 30.46 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 28.12 Bn | 14.54 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.92 Bn | 15.56 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.72 Bn | 13.51 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.73 Bn | 11.79 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.31 Bn | 7.98 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.75 Bn | 6.04 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Post Holdings | 3.54 Bn | 2.55 Bn | 566.30 Mn | 322.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.80 Mn |
| Mar 31, 2026 | 350.10 Mn |
| Dec 31, 2025 | 390.90 Mn |
| Sep 30, 2025 | 314.60 Mn |
| Jun 30, 2025 | 366.80 Mn |
| Mar 31, 2025 | 307.80 Mn |
| Dec 31, 2024 | 334.40 Mn |
| Sep 30, 2024 | 315.10 Mn |
| Jun 30, 2024 | 323.90 Mn |
| Mar 31, 2024 | 309.70 Mn |
| Dec 31, 2023 | 321.70 Mn |
| Sep 30, 2023 | 266.80 Mn |
| Jun 30, 2023 | 264.80 Mn |
| Mar 31, 2023 | 231.90 Mn |
| Dec 31, 2022 | 242.50 Mn |
| Sep 30, 2022 | 226.60 Mn |
| Jun 30, 2022 | 199.30 Mn |
| Mar 31, 2022 | 195.30 Mn |
| Dec 31, 2021 | 174.60 Mn |
| Sep 30, 2021 | 182.60 Mn |
API Access
Post Holdings 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=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "POST", "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=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();