Post Holdings (POST) Return on Sales [ROS] (2010 - 2026)
Post Holdings (POST) reported Return on Sales [ROS] of 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Post Holdings' Return on Sales [ROS] came in at 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.
- Return on Sales [ROS] has a five-year change of -1.59 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 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).
- Five-year quarterly Return on Sales [ROS] spans a low of 5.85% in fiscal Q1 2022 and a high of 11.82% in fiscal Q3 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +0.01 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 5.19 percentage points); the low point was fiscal Q1 2022 (a drop of 5.56 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 10.37% (Q2 2026), 10.96% (Q1 2026) and 7.49% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 2.76% |
| 10 | Post Holdings | 3.69 Bn | 2.70 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();