Selective Insurance (SIGI) Change in Receivables (2009 - 2026)
Selective Insurance (SIGI) reported Change in Receivables of $55.51 million for Q2 2026, down 54.8% from $122.81 million a year earlier but up 14.9% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Change in Receivables (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Selective Insurance's Change in Receivables came in at -$24.84 million; for FY2025, it came in at $66.1 million, down 57.3% from FY2024.
- Change in Receivables has a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- By year, Change in Receivables came in at $154.73 million in FY2024 (-32.0%), $227.39 million in FY2023 (+61.8%), $140.5 million in FY2022 (+28.7%) and $109.17 million in FY2021 (+728.9%).
- Five-year quarterly Change in Receivables spans a low of -$82.59 million in Q4 2025 and a high of $140.55 million in Q2 2024.
- The high point for year-over-year Change in Receivables in five years was Q1 2024 (growth of 84.0%); the low point was Q2 2026 (a decline of 54.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.31 million (Q1 2026), -$82.59 million (Q4 2025) and -$46.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 2.23 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 1.98 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -508.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 581.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 961.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 275.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 80.00 Mn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 55.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.51 Mn |
| Mar 31, 2026 | 48.31 Mn |
| Dec 31, 2025 | -82.59 Mn |
| Sep 30, 2025 | -46.06 Mn |
| Jun 30, 2025 | 122.81 Mn |
| Mar 31, 2025 | 71.94 Mn |
| Dec 31, 2024 | -64.13 Mn |
| Sep 30, 2024 | -47.73 Mn |
| Jun 30, 2024 | 140.55 Mn |
| Mar 31, 2024 | 126.03 Mn |
| Jun 30, 2023 | 132.33 Mn |
| Mar 31, 2023 | 68.48 Mn |
| Jun 30, 2022 | 105.89 Mn |
| Mar 31, 2022 | 66.35 Mn |
| Jun 30, 2021 | 92.75 Mn |
| Mar 31, 2021 | 59.18 Mn |
| Dec 31, 2020 | -15.07 Mn |
| Sep 30, 2020 | -15.86 Mn |
| Jun 30, 2020 | 69.67 Mn |
| Mar 31, 2020 | -25.57 Mn |
API Access
Selective 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=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "SIGI", "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=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();