Post Holdings (POST) EBITDA Margin (2010 - 2026)
Post Holdings' EBITDA Margin was 16.57% in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.91 percentage points from 18.49% a year earlier and down 0.57 percentage points from the prior quarter.
Post Holdings (POST) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Post Holdings' EBITDA Margin was 16.39% through Jun 30, 2026, down 0.33 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 16.22%, up 0.19 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive fiscal years, though with a five-year change of -2.49 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was 16.03% in FY2024 (+1.65 pp), 14.39% in FY2023 (+0.79 pp), 13.60% in FY2022 (-3.55 pp) and 17.15% in FY2021 (-1.56 pp).
- Quarterly EBITDA Margin has moved between 13.05% (fiscal Q1 2022) and 18.49% (fiscal Q3 2025) over five years.
- Compared with a year earlier, EBITDA Margin was higher in six of the last eight quarters, with an average year-over-year change of +0.44 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2021 (a gain of 7.42 percentage points); the worst was fiscal Q3 2022 (a drop of 6.71 percentage points).
- Per Business Quant data, POST's EBITDA Margin in the three fiscal quarters before Q3 2026 was 17.14% (Q2 2026), 17.98% (Q1 2026) and 14.00% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 24.54% |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 27.94% |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | -98.53% |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 17.62% |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 28.80% |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 14.50% |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 3.95% |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 16.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.57% |
| Mar 31, 2026 | 17.14% |
| Dec 31, 2025 | 17.98% |
| Sep 30, 2025 | 14.00% |
| Jun 30, 2025 | 18.49% |
| Mar 31, 2025 | 15.77% |
| Dec 31, 2024 | 16.93% |
| Sep 30, 2024 | 15.68% |
| Jun 30, 2024 | 16.63% |
| Mar 31, 2024 | 15.49% |
| Dec 31, 2023 | 16.36% |
| Sep 30, 2023 | 13.71% |
| Jun 30, 2023 | 14.24% |
| Mar 31, 2023 | 14.32% |
| Dec 31, 2022 | 15.48% |
| Sep 30, 2022 | 14.35% |
| Jun 30, 2022 | 13.07% |
| Mar 31, 2022 | 13.85% |
| Dec 31, 2021 | 13.05% |
| Sep 30, 2021 | 13.47% |
Post Holdings EBITDA Margin 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-margin&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();