Post Holdings (POST) Operating Margin (2010 - 2026)
Post Holdings' Operating Margin came in at 9.72% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.11 percentage points from 11.82% a year earlier and down 0.65 percentage points from the prior quarter.
Post Holdings (POST) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Post Holdings reported Operating Margin of 9.60%, down 0.77 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 9.80%, down 0.22 percentage points from FY2024.
- Operating Margin carries a five-year change of -1.59 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Operating Margin was 10.02% in FY2024 (+1.45 pp), 8.57% in FY2023 (+1.46 pp), 7.10% in FY2022 (-2.69 pp) and 9.79% in FY2021 (-1.60 pp).
- The five-year range for quarterly Operating Margin is 5.85% (fiscal Q1 2022) to 11.82% (fiscal Q3 2025).
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +0.01 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2021 (a gain of 5.19 percentage points), and the weakest in fiscal Q1 2022 (a drop of 5.56 percentage points).
- Business Quant data shows POST's Operating Margin at 10.37% (Q2 2026), 10.96% (Q1 2026) and 7.49% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 2.76% |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 9.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.72% |
| Mar 31, 2026 | 10.37% |
| Dec 31, 2025 | 10.96% |
| Sep 30, 2025 | 7.49% |
| Jun 30, 2025 | 11.82% |
| Mar 31, 2025 | 9.33% |
| Dec 31, 2024 | 10.84% |
| Sep 30, 2024 | 9.50% |
| Jun 30, 2024 | 10.43% |
| Mar 31, 2024 | 9.51% |
| Dec 31, 2023 | 10.65% |
| Sep 30, 2023 | 7.86% |
| Jun 30, 2023 | 8.51% |
| Mar 31, 2023 | 8.50% |
| Dec 31, 2022 | 9.57% |
| Sep 30, 2022 | 8.35% |
| Jun 30, 2022 | 6.92% |
| Mar 31, 2022 | 7.09% |
| Dec 31, 2021 | 5.85% |
| Sep 30, 2021 | 6.25% |
Post Holdings Operating 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=operating-margin&ticker=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();