Post Holdings (POST) Total Non-Current Liabilities (2011 - 2026)
Post Holdings' Total Non-Current Liabilities was $9.36 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.8% from $9.02 billion a year earlier but down 0.5% from the prior quarter.
Post Holdings (POST) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Post Holdings came in at $9.39 billion, up 11.7% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $8.41 billion in FY2024 (+11.8%), $7.52 billion in FY2023 (-3.3%), $7.78 billion in FY2022 (-15.0%) and $9.15 billion in FY2021 (+5.3%).
- Quarterly Total Non-Current Liabilities has moved between $7.52 billion (fiscal Q4 2023) and $9.51 billion (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 11 straight quarters, with growth averaging 9.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2025 (growth of 14.1%); the worst was fiscal Q1 2023 (a decline of 19.3%).
- Per Business Quant data, POST's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $9.4 billion (Q2 2026), $9.16 billion (Q1 2026) and $9.39 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.54 Bn | 94.00 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 82.26 Bn | 75.53 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 34.16 Bn | 30.40 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 28.26 Bn | 14.68 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 13.81 Bn | 13.60 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 11.26 Bn | 7.93 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 8.71 Bn | 5.99 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Post Holdings | 3.53 Bn | 2.53 Bn | 566.30 Mn | 9.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.36 Bn |
| Mar 31, 2026 | 9.40 Bn |
| Dec 31, 2025 | 9.16 Bn |
| Sep 30, 2025 | 9.39 Bn |
| Jun 30, 2025 | 9.02 Bn |
| Mar 31, 2025 | 8.62 Bn |
| Dec 31, 2024 | 8.59 Bn |
| Sep 30, 2024 | 8.41 Bn |
| Jun 30, 2024 | 7.90 Bn |
| Mar 31, 2024 | 7.92 Bn |
| Dec 31, 2023 | 7.83 Bn |
| Sep 30, 2023 | 7.52 Bn |
| Jun 30, 2023 | 7.68 Bn |
| Mar 31, 2023 | 7.60 Bn |
| Dec 31, 2022 | 7.67 Bn |
| Sep 30, 2022 | 7.78 Bn |
| Jun 30, 2022 | 7.80 Bn |
| Mar 31, 2022 | 7.91 Bn |
| Dec 31, 2021 | 9.51 Bn |
| Sep 30, 2021 | 9.15 Bn |
Post Holdings Total 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=total-non-current-liabilities&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();