Selective Insurance (SIGI) Interest Expenses (2009 - 2026)
Selective Insurance (SIGI) reported Interest Expenses of $13.22 million for Q2 2026, down 0.3% from $13.26 million a year earlier and unchanged from the prior quarter.
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Analysis
Selective Insurance (SIGI) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Selective Insurance's Interest Expenses came in at $52.93 million, up 41.8% year-over-year; for FY2025, it was $49.32 million, up 70.8% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $28.88 million in FY2024 (+0.3%), $28.8 million in FY2023 (-0.2%), $28.85 million in FY2022 (-1.1%) and $29.17 million in FY2021 (-5.4%).
- The Q2 2026 figure ranks as the lowest quarterly Interest Expenses since Q1 2025.
- Year over year, Interest Expenses gained in five of the last six quarters, with growth averaging 53.5%.
- The high point for year-over-year Interest Expenses in five years was Q2 2025 (growth of 84.1%); the low point was Q1 2022 (a decline of 2.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.22 million (Q1 2026), $13.24 million (Q4 2025) and $13.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 13.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.22 Mn |
| Mar 31, 2026 | 13.22 Mn |
| Dec 31, 2025 | 13.24 Mn |
| Sep 30, 2025 | 13.25 Mn |
| Jun 30, 2025 | 13.26 Mn |
| Mar 31, 2025 | 9.57 Mn |
| Dec 31, 2024 | 7.25 Mn |
| Sep 30, 2024 | 7.25 Mn |
| Jun 30, 2024 | 7.20 Mn |
| Mar 31, 2024 | 7.18 Mn |
| Sep 30, 2023 | 7.19 Mn |
| Jun 30, 2023 | 7.26 Mn |
| Mar 31, 2023 | 7.17 Mn |
| Sep 30, 2022 | 7.18 Mn |
| Jun 30, 2022 | 7.25 Mn |
| Mar 31, 2022 | 7.17 Mn |
| Sep 30, 2021 | 7.24 Mn |
| Jun 30, 2021 | 7.37 Mn |
| Mar 31, 2021 | 7.36 Mn |
| Dec 31, 2020 | 7.53 Mn |
API Access
Selective Insurance Interest Expenses 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=interest-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();