Assurant (AIZ) Change in Receivables (2018 - 2026)
Assurant's Change in Receivables came in at $63.7 million for FY2019, down 71.1% from $220.2 million in FY2018.
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Analysis
Assurant (AIZ) Change in Receivables (2018 - 2026) Analysis & Trends
Going back to FY2010, Assurant's Change in Receivables data covers 7 years.
- Per Business Quant, earlier years put Change in Receivables at $220.2 million in FY2018 and $10.3 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 1.98 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | -508.00 Mn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | -493.00 Mn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 961.00 Mn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 80.00 Mn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | - |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 227.00 Mn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 275.00 Mn |
| 10 | Assurant | 14.07 Bn | 5.84 Bn | 2.71 Bn | -13.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.80 Mn |
| Mar 31, 2026 | 16.70 Mn |
| Dec 31, 2025 | 96.70 Mn |
| Sep 30, 2025 | -28.60 Mn |
| Jun 30, 2025 | 77.90 Mn |
| Mar 31, 2025 | -241.70 Mn |
| Dec 31, 2024 | 312.90 Mn |
| Sep 30, 2024 | -39.70 Mn |
| Jun 30, 2024 | -180.80 Mn |
| Mar 31, 2024 | -265.20 Mn |
| Dec 31, 2023 | -110.20 Mn |
| Sep 30, 2023 | 56.80 Mn |
| Jun 30, 2023 | 300,000.00 |
| Mar 31, 2023 | -67.50 Mn |
| Dec 31, 2022 | 81.40 Mn |
| Sep 30, 2022 | -60.30 Mn |
| Jun 30, 2022 | 133.30 Mn |
| Mar 31, 2022 | 311.20 Mn |
| Dec 31, 2021 | 292.60 Mn |
| Sep 30, 2021 | -12.00 Mn |
API Access
Assurant Change in 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=change-in-receivables&ticker=AIZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "AIZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-receivables&ticker=AIZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();