Post Holdings (POST) Receivables (2011 - 2026)
Post Holdings' Receivables came in at $699.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.7% from $694.4 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Post Holdings (POST) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Post Holdings' Receivables was $739.7 million, up 25.6% from FY2024.
- Receivables carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by fiscal year, Receivables was $588.7 million in FY2024 (+13.4%), $519.3 million in FY2023 (-5.3%), $548.6 million in FY2022 (+20.0%) and $457 million in FY2021 (+2.7%).
- The five-year range for quarterly Receivables is $42.4 million (fiscal Q4 2023) to $739.7 million (fiscal Q4 2025).
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 15.4% over the last seven quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q4 2024 (growth of 35.1%), and the weakest in fiscal Q4 2023 (a decline of 92.3%).
- Business Quant data shows POST's Receivables at $728.8 million (Q2 2026), $680.6 million (Q1 2026) and $739.7 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 11.65 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 1.78 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 615.70 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 831.50 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Post Holdings | 3.53 Bn | 2.54 Bn | 566.30 Mn | 699.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 699.30 Mn |
| Mar 31, 2026 | 728.80 Mn |
| Dec 31, 2025 | 680.60 Mn |
| Sep 30, 2025 | 739.70 Mn |
| Jun 30, 2025 | 694.40 Mn |
| Mar 31, 2025 | 697.80 Mn |
| Dec 31, 2024 | 608.40 Mn |
| Sep 30, 2024 | 57.30 Mn |
| Jun 30, 2024 | 536.10 Mn |
| Mar 31, 2024 | 569.30 Mn |
| Dec 31, 2023 | 586.70 Mn |
| Sep 30, 2023 | 42.40 Mn |
| Jun 30, 2023 | 564.90 Mn |
| Mar 31, 2023 | 576.30 Mn |
| Dec 31, 2022 | 539.10 Mn |
| Sep 30, 2022 | 548.60 Mn |
| Jun 30, 2022 | 560.00 Mn |
| Mar 31, 2022 | 477.80 Mn |
| Dec 31, 2021 | 536.20 Mn |
| Sep 30, 2021 | 457.00 Mn |
API Access
Post Holdings Receivables 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=receivables&ticker=POST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=POST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();