Post Holdings (POST) Interest Expenses (2011 - 2026)
Post Holdings (POST) posted Interest Expenses of $108.2 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.3% from $88.5 million a year earlier and up 2.4% from the prior quarter.
Post Holdings (POST) Interest Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Post Holdings was $419.1 million, up 23.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $361.4 million, up 14.2% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior fiscal years, Post Holdings' Interest Expenses was $316.5 million in FY2024 (+13.4%), $279.1 million in FY2023 (-12.2%), $317.8 million in FY2022 (-4.4%) and $332.6 million in FY2021 (-0.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly Interest Expenses in data going back to fiscal Q2 2011.
- On a year-over-year basis, Interest Expenses has increased in each of the last 12 quarters, with growth averaging 15.9% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q4 2021, with growth of 104.2%; the weakest was fiscal Q2 2023, with a decline of 26.8%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $105.7 million (Q2 2026), $103.4 million (Q1 2026) and $101.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | - |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 68.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | - |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 108.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.20 Mn |
| Mar 31, 2026 | 105.70 Mn |
| Dec 31, 2025 | 103.40 Mn |
| Sep 30, 2025 | 101.80 Mn |
| Jun 30, 2025 | 88.50 Mn |
| Mar 31, 2025 | 87.00 Mn |
| Dec 31, 2024 | 84.10 Mn |
| Sep 30, 2024 | 79.60 Mn |
| Jun 30, 2024 | 78.80 Mn |
| Mar 31, 2024 | 80.00 Mn |
| Dec 31, 2023 | 78.10 Mn |
| Sep 30, 2023 | 76.70 Mn |
| Jun 30, 2023 | 72.70 Mn |
| Mar 31, 2023 | 63.80 Mn |
| Dec 31, 2022 | 65.90 Mn |
| Sep 30, 2022 | 72.20 Mn |
| Jun 30, 2022 | 75.60 Mn |
| Mar 31, 2022 | 87.20 Mn |
| Dec 31, 2021 | 82.80 Mn |
| Sep 30, 2021 | 82.90 Mn |
Post Holdings Interest 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=interest-expenses&ticker=POST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();