Post Holdings (POST) Inventory (2011 - 2026)
Post Holdings (POST) recorded Inventory of $929.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.4% from $772.3 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Post Holdings (POST) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Post Holdings reported Inventory of $875 million, up 16.0% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $754.2 million in FY2024 (-4.5%), $789.9 million in FY2023 (+43.9%), $549.1 million in FY2022 (+15.2%) and $476.6 million in FY2021 (-20.5%).
- The fiscal Q3 2026 figure is the highest quarterly Inventory in data going back to fiscal Q4 2011.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 48.6% in fiscal Q3 2023, against a decline of 21.7% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $911.6 million (Q2 2026), $908.2 million (Q1 2026) and $875 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 5.17 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 2.16 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 1.19 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 929.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 929.70 Mn |
| Mar 31, 2026 | 911.60 Mn |
| Dec 31, 2025 | 908.20 Mn |
| Sep 30, 2025 | 875.00 Mn |
| Jun 30, 2025 | 772.30 Mn |
| Mar 31, 2025 | 718.60 Mn |
| Dec 31, 2024 | 739.90 Mn |
| Sep 30, 2024 | 754.20 Mn |
| Jun 30, 2024 | 795.00 Mn |
| Mar 31, 2024 | 802.70 Mn |
| Dec 31, 2023 | 824.80 Mn |
| Sep 30, 2023 | 789.90 Mn |
| Jun 30, 2023 | 779.30 Mn |
| Mar 31, 2023 | 594.30 Mn |
| Dec 31, 2022 | 596.60 Mn |
| Sep 30, 2022 | 549.10 Mn |
| Jun 30, 2022 | 524.50 Mn |
| Mar 31, 2022 | 517.50 Mn |
| Dec 31, 2021 | 621.60 Mn |
| Sep 30, 2021 | 476.60 Mn |
API Access
Post Holdings Inventory 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=inventory&ticker=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();