Post Holdings (POST) Shares Outstanding (Diluted) (2010 - 2026)
Post Holdings' Shares Outstanding (Diluted) was 51.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 17.8% from 62.4 million a year earlier and down 5.2% from the prior quarter.
Post Holdings (POST) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Shares Outstanding (Diluted) at Post Holdings came in at 62.9 million, down 6.0% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding (Diluted) was 66.9 million in FY2024 (-0.1%), 67 million in FY2023 (+6.9%), 62.7 million in FY2022 (-4.0%) and 65.3 million in FY2021 (-6.8%).
- The fiscal Q3 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since fiscal Q1 2015.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for nine straight quarters, with an average decline of 8.2% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q3 2023 (growth of 11.2%); the worst was fiscal Q3 2026 (a decline of 17.8%).
- Per Business Quant data, POST's Shares Outstanding (Diluted) in the three fiscal quarters before Q3 2026 was 54.1 million (Q2 2026), 58.2 million (Q1 2026) and 62.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 51.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.30 Mn |
| Mar 31, 2026 | 54.10 Mn |
| Dec 31, 2025 | 58.20 Mn |
| Sep 30, 2025 | 62.90 Mn |
| Jun 30, 2025 | 62.40 Mn |
| Mar 31, 2025 | 63.10 Mn |
| Dec 31, 2024 | 65.20 Mn |
| Sep 30, 2024 | 66.90 Mn |
| Jun 30, 2024 | 67.00 Mn |
| Mar 31, 2024 | 67.60 Mn |
| Dec 31, 2023 | 67.30 Mn |
| Sep 30, 2023 | 67.00 Mn |
| Jun 30, 2023 | 68.50 Mn |
| Mar 31, 2023 | 65.70 Mn |
| Dec 31, 2022 | 65.80 Mn |
| Sep 30, 2022 | 62.70 Mn |
| Jun 30, 2022 | 61.60 Mn |
| Mar 31, 2022 | 62.20 Mn |
| Dec 31, 2021 | 62.50 Mn |
| Sep 30, 2021 | 65.30 Mn |
Post Holdings Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();