Hartford Insurance (HIG) Change in Receivables (2009 - 2026)
Hartford Insurance (HIG) reported Change in Receivables of $304 million for Q2 2026, down 10.1% from $338 million a year earlier and down 31.7% from the prior quarter.
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Analysis
Hartford Insurance (HIG) Change in Receivables (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hartford Insurance's Change in Receivables came in at $416 million, down 7.3% year-over-year; for FY2025, it came in at $419 million, down 8.5% from FY2024.
- Change in Receivables has a five-year compound annual growth rate of 42.2% (FY2020 to FY2025).
- By year, Change in Receivables came in at $458 million in FY2024 (-35.3%), $708 million in FY2023 (+26.0%), $562 million in FY2022 (+195.8%) and $190 million in FY2021 (+163.9%).
- Five-year quarterly Change in Receivables spans a low of -$215 million in Q4 2025 and a high of $445 million in Q1 2026.
- Year over year, Change in Receivables gained in two of the last four quarters, with an average decline of 1.4%.
- The high point for year-over-year Change in Receivables in five years was Q2 2023 (growth of 46.8%); the low point was Q2 2026 (a decline of 10.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $445 million (Q1 2026), -$215 million (Q4 2025) and -$118 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 1.98 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | -508.00 Mn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | -493.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 961.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 80.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | - |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 227.00 Mn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 275.00 Mn |
| 10 | Hartford Insurance | 37.14 Bn | 20.83 Bn | 3.18 Bn | 304.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.00 Mn |
| Mar 31, 2026 | 445.00 Mn |
| Dec 31, 2025 | -215.00 Mn |
| Sep 30, 2025 | -118.00 Mn |
| Jun 30, 2025 | 338.00 Mn |
| Mar 31, 2025 | 414.00 Mn |
| Dec 31, 2024 | -136.00 Mn |
| Sep 30, 2024 | -167.00 Mn |
| Jun 30, 2024 | 365.00 Mn |
| Mar 31, 2024 | 396.00 Mn |
| Dec 31, 2023 | 78.00 Mn |
| Sep 30, 2023 | -30.00 Mn |
| Jun 30, 2023 | 326.00 Mn |
| Mar 31, 2023 | 334.00 Mn |
| Dec 31, 2022 | -25.00 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | 222.00 Mn |
| Mar 31, 2022 | 358.00 Mn |
| Dec 31, 2015 | -472.00 Mn |
| Sep 30, 2015 | -328.00 Mn |
API Access
Hartford Insurance 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=HIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "HIG", "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=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();