Post Holdings (POST) EBIT (2010 - 2026)
Post Holdings (POST) recorded EBIT of $189.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 19.3% from $234.6 million a year earlier and down 10.7% from the prior quarter.
Post Holdings (POST) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Post Holdings' EBIT came in at $808 million as of Jun 30, 2026, down 1.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $799.3 million, up 0.7% from FY2024.
- Annual EBIT has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier fiscal years, EBIT came in at $793.5 million in FY2024 (+32.5%), $598.9 million in FY2023 (+44.1%), $415.6 million in FY2022 (-14.8%) and $487.7 million in FY2021 (-9.1%).
- Quarterly EBIT has ranged from $78.2 million in fiscal Q1 2022 to $238.4 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, EBIT rose in five of the last eight quarters, with growth averaging 4.4%.
- Peak year-over-year performance for EBIT in the last five years was growth of 468.5% in fiscal Q4 2021, against a decline of 53.0% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $211.9 million (Q2 2026), $238.4 million (Q1 2026) and $168.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 143.42 Bn | 94.88 Bn | - | - |
| 2 | Mondelez International | 82.21 Bn | 75.48 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 34.22 Bn | 30.46 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 28.12 Bn | 14.54 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.92 Bn | 15.56 Bn | 1.49 Bn | 633.60 Mn |
| 6 | J M Smucker | 13.72 Bn | 13.51 Bn | 979.60 Mn | 511.60 Mn |
| 7 | Mccormick | 12.73 Bn | 11.79 Bn | 794.90 Mn | 217.00 Mn |
| 8 | Hormel Foods | 11.31 Bn | 7.98 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 8.75 Bn | 6.04 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Post Holdings | 3.54 Bn | 2.55 Bn | 566.30 Mn | 189.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.30 Mn |
| Mar 31, 2026 | 211.90 Mn |
| Dec 31, 2025 | 238.40 Mn |
| Sep 30, 2025 | 168.40 Mn |
| Jun 30, 2025 | 234.60 Mn |
| Mar 31, 2025 | 182.20 Mn |
| Dec 31, 2024 | 214.10 Mn |
| Sep 30, 2024 | 190.90 Mn |
| Jun 30, 2024 | 203.20 Mn |
| Mar 31, 2024 | 190.10 Mn |
| Dec 31, 2023 | 209.30 Mn |
| Sep 30, 2023 | 153.00 Mn |
| Jun 30, 2023 | 158.30 Mn |
| Mar 31, 2023 | 137.70 Mn |
| Dec 31, 2022 | 149.90 Mn |
| Sep 30, 2022 | 131.90 Mn |
| Jun 30, 2022 | 105.50 Mn |
| Mar 31, 2022 | 100.00 Mn |
| Dec 31, 2021 | 78.20 Mn |
| Sep 30, 2021 | 84.70 Mn |
Post Holdings EBIT 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=ebit&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();