Post Holdings (POST) Other Accumulated Expenses (2011 - 2026)
Post Holdings' Other Accumulated Expenses was $517.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.0% from $488.1 million a year earlier and up 8.4% from the prior quarter.
Post Holdings (POST) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Accumulated Expenses at Post Holdings came in at $532.4 million, up 15.8% from FY2024.
- Other Accumulated Expenses has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier fiscal years, Other Accumulated Expenses was $459.9 million in FY2024 (+5.6%), $435.4 million in FY2023 (+17.7%), $370 million in FY2022 (-10.8%) and $415 million in FY2021 (-23.4%).
- Quarterly Other Accumulated Expenses has moved between $355.9 million (fiscal Q3 2022) and $532.4 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for six straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2023 (growth of 17.7%); the worst was fiscal Q1 2023 (a decline of 24.7%).
- Per Business Quant data, POST's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $477.3 million (Q2 2026), $459.3 million (Q1 2026) and $532.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 146.11 Bn | 99.98 Bn | - |
| 2 | Mondelez International | 83.20 Bn | 76.52 Bn | 3.99 Bn |
| 3 | Hershey | 35.53 Bn | 31.77 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.73 Bn | 16.26 Bn | 2.03 Bn |
| 5 | General Mills | 18.80 Bn | 16.46 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.25 Bn | 14.03 Bn | 979.60 Mn |
| 7 | Mccormick | 13.11 Bn | 12.76 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.76 Bn | 8.44 Bn | 471.52 Mn |
| 9 | Chewy | 8.96 Bn | 6.25 Bn | 1.01 Bn |
| 10 | Post Holdings | 3.60 Bn | 2.62 Bn | 566.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517.30 Mn |
| Mar 31, 2026 | 477.30 Mn |
| Dec 31, 2025 | 459.30 Mn |
| Sep 30, 2025 | 532.40 Mn |
| Jun 30, 2025 | 488.10 Mn |
| Mar 31, 2025 | 454.80 Mn |
| Dec 31, 2024 | 416.90 Mn |
| Sep 30, 2024 | 459.90 Mn |
| Jun 30, 2024 | 463.40 Mn |
| Mar 31, 2024 | 442.00 Mn |
| Dec 31, 2023 | 421.60 Mn |
| Sep 30, 2023 | 435.40 Mn |
| Jun 30, 2023 | 405.00 Mn |
| Mar 31, 2023 | 375.70 Mn |
| Dec 31, 2022 | 360.80 Mn |
| Sep 30, 2022 | 370.00 Mn |
| Jun 30, 2022 | 355.90 Mn |
| Mar 31, 2022 | 406.90 Mn |
| Dec 31, 2021 | 479.30 Mn |
| Sep 30, 2021 | 415.00 Mn |
Post Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();