Selective Insurance (SIGI) Receivables (2009 - 2026)
Selective Insurance's Receivables came in at $1.64 billion for Q2 2026, down 1.5% from $1.66 billion a year earlier but up 3.5% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Selective Insurance's Receivables was $1.53 billion, up 4.5% from FY2024.
- Receivables has increased in each of the last 15 years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Going back by year, Receivables was $1.47 billion in FY2024 (+11.8%), $1.31 billion in FY2023 (+20.9%), $1.09 billion in FY2022 (+14.9%) and $945.19 million in FY2021 (+13.1%).
- The five-year range for quarterly Receivables is $945.19 million (Q4 2021) to $1.66 billion (Q2 2025).
- Year-over-year, Receivables increased in six of the last seven quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Receivables over five years came in Q1 2024 (growth of 24.7%), and the weakest in Q2 2026 (a decline of 1.5%).
- Business Quant data shows SIGI's Receivables at $1.58 billion (Q1 2026), $1.53 billion (Q4 2025) and $1.62 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 8.76 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 11.86 Bn |
| 10 | Selective Insurance | 5.07 Bn | 2.97 Bn | 570.77 Mn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 Bn |
| Mar 31, 2026 | 1.58 Bn |
| Dec 31, 2025 | 1.53 Bn |
| Sep 30, 2025 | 1.62 Bn |
| Jun 30, 2025 | 1.66 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.47 Bn |
| Sep 30, 2024 | 1.53 Bn |
| Jun 30, 2024 | 1.58 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.31 Bn |
| Sep 30, 2023 | 1.33 Bn |
| Jun 30, 2023 | 1.29 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 1.12 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 945.19 Mn |
| Sep 30, 2021 | 984.83 Mn |
API Access
Selective Insurance 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=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();