Post Holdings (POST) Long-Term Debt Repayments (2012 - 2026)
Post Holdings' Long-Term Debt Repayments was $45 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 92.1% from the prior quarter.
Post Holdings (POST) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Post Holdings' Long-Term Debt Repayments was $2.1 billion through Jun 30, 2026, up 69.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $526.1 million, down 74.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -29.1% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $2.04 billion in FY2024 (+565.2%), $306.9 million in FY2023 (-80.4%), $1.56 billion in FY2022 (-7.9%) and $1.7 billion in FY2021 (-42.1%).
- The fiscal Q3 2026 figure marks the lowest quarterly Long-Term Debt Repayments since fiscal Q2 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last five quarters, with growth averaging 221.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2025 (growth of 587.7%); the worst was fiscal Q2 2025 (a decline of 99.9%).
- Per Business Quant data, POST's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $566.2 million (Q2 2026), $1.43 billion (Q1 2026) and $60 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 141.16 Bn | 92.62 Bn | - | - |
| 2 | Mondelez International | 80.39 Bn | 73.66 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 34.17 Bn | 30.41 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 27.94 Bn | 14.36 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.67 Bn | 15.31 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.71 Bn | 13.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.50 Bn | 11.56 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.16 Bn | 7.83 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.61 Bn | 5.90 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 45.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.00 Mn |
| Mar 31, 2026 | 566.20 Mn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 30, 2025 | 60.00 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 464.90 Mn |
| Sep 30, 2024 | 775.00 Mn |
| Jun 30, 2024 | 16.10 Mn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 67.60 Mn |
| Sep 30, 2023 | 128.50 Mn |
| Jun 30, 2023 | 43.60 Mn |
| Mar 31, 2023 | 44.10 Mn |
| Dec 31, 2022 | 90.70 Mn |
| Sep 30, 2022 | 658.90 Mn |
| Jun 30, 2022 | 63.30 Mn |
| Mar 31, 2022 | 841.10 Mn |
| Mar 31, 2021 | 1.66 Bn |
| Dec 31, 2020 | 37.50 Mn |
| Sep 30, 2020 | -1.20 Bn |
Post Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();