Selective Insurance (SIGI) Change in Receivables (2009 - 2026)
Selective Insurance (SIGI) reported Change in Receivables of -$87.97 million for Q3 2026, compared with -$46.06 million a year earlier.
Selective Insurance (SIGI) Change in Receivables (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Selective Insurance's Change in Receivables came in at -$66.74 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%).
- The Q3 2026 figure ranks as the lowest quarterly Change in Receivables in data going back to Q3 2009.
- 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 Q3 2026 came in at $55.51 million (Q2 2026), $48.31 million (Q1 2026) and -$82.59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | -967.00 Mn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 231.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | -493.00 Mn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | -241.00 Mn |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | -211.00 Mn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | -589.00 Mn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 510.00 Mn |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | - |
| 10 | Selective Insurance | 5.89 Bn | 3.99 Bn | 563.60 Mn | -87.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -87.97 Mn |
| 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 |
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_KEY
import 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();