Post Holdings (POST) Other Non-Current Liabilities (2011 - 2026)
Post Holdings' Other Non-Current Liabilities was $403.6 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.3% from $344 million a year earlier and up 9.9% from the prior quarter.
Post Holdings (POST) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at Post Holdings came in at $371.6 million, up 8.2% from FY2024.
- Other Non-Current Liabilities has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $343.4 million in FY2024 (+24.1%), $276.7 million in FY2023 (+3.7%), $266.9 million in FY2022 (-47.5%) and $507.9 million in FY2021 (-15.3%).
- The fiscal Q3 2026 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q2 2022.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 12 straight quarters, with growth averaging 16.3% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q3 2025 (growth of 26.6%); the worst was fiscal Q1 2023 (a decline of 54.4%).
- Per Business Quant data, POST's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $367.3 million (Q2 2026), $358.4 million (Q1 2026) and $371.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Post Holdings | 3.52 Bn | 2.52 Bn | 566.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 403.60 Mn |
| Mar 31, 2026 | 367.30 Mn |
| Dec 31, 2025 | 358.40 Mn |
| Sep 30, 2025 | 371.60 Mn |
| Jun 30, 2025 | 344.00 Mn |
| Mar 31, 2025 | 340.60 Mn |
| Dec 31, 2024 | 332.60 Mn |
| Sep 30, 2024 | 343.40 Mn |
| Jun 30, 2024 | 271.80 Mn |
| Mar 31, 2024 | 279.60 Mn |
| Dec 31, 2023 | 285.70 Mn |
| Sep 30, 2023 | 276.70 Mn |
| Jun 30, 2023 | 251.70 Mn |
| Mar 31, 2023 | 230.70 Mn |
| Dec 31, 2022 | 240.40 Mn |
| Sep 30, 2022 | 266.90 Mn |
| Jun 30, 2022 | 350.90 Mn |
| Mar 31, 2022 | 435.20 Mn |
| Dec 31, 2021 | 527.50 Mn |
| Sep 30, 2021 | 507.90 Mn |
Post Holdings Other Non-Current Liabilities 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-non-current-liabilities&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();