Post Holdings (POST) Operating Expenses (2010 - 2026)
Post Holdings (POST) posted Operating Expenses of $326.1 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.5% from $312.1 million a year earlier and unchanged from the prior quarter.
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Analysis
Post Holdings (POST) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Post Holdings was $1.36 billion, up 4.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.31 billion, down 1.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior fiscal years, Post Holdings' Operating Expenses was $1.33 billion in FY2024 (+23.4%), $1.08 billion in FY2023 (+19.2%), $904.7 million in FY2022 (+12.1%) and $807 million in FY2021 (+3.1%).
- Quarterly Operating Expenses has run from a low of $203.7 million in fiscal Q4 2021 to a high of $357.3 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2021, with growth of 161.2%; the weakest was fiscal Q1 2022, with a decline of 12.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $326.2 million (Q2 2026), $357.3 million (Q1 2026) and $350.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 326.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 326.10 Mn |
| Mar 31, 2026 | 326.20 Mn |
| Dec 31, 2025 | 357.30 Mn |
| Sep 30, 2025 | 350.10 Mn |
| Jun 30, 2025 | 312.10 Mn |
| Mar 31, 2025 | 314.80 Mn |
| Dec 31, 2024 | 331.60 Mn |
| Sep 30, 2024 | 341.70 Mn |
| Jun 30, 2024 | 324.50 Mn |
| Mar 31, 2024 | 341.30 Mn |
| Dec 31, 2023 | 322.90 Mn |
| Sep 30, 2023 | 309.50 Mn |
| Jun 30, 2023 | 300.90 Mn |
| Mar 31, 2023 | 239.30 Mn |
| Dec 31, 2022 | 228.70 Mn |
| Sep 30, 2022 | 223.80 Mn |
| Jun 30, 2022 | 225.00 Mn |
| Mar 31, 2022 | 235.40 Mn |
| Dec 31, 2021 | 220.50 Mn |
| Sep 30, 2021 | 203.70 Mn |
API Access
Post Holdings Operating 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=operating-expenses&ticker=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();