Rli (RLI) Non Operating Interest Expenses (2009 - 2026)
Rli's Non Operating Interest Expenses was $4.44 million in Q2 2026, up 229.0% from $1.35 million a year earlier and up 88.7% from the prior quarter.
Rli (RLI) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rli's Non Operating Interest Expenses was $9.47 million through Jun 30, 2026, up 63.4% year-over-year; for FY2025, it was $5.36 million, down 15.4% from FY2024.
- Non Operating Interest Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $6.33 million in FY2024 (-13.3%), $7.3 million in FY2023 (-9.3%), $8.05 million in FY2022 (+4.8%) and $7.68 million in FY2021 (+1.0%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last eight quarters, with growth averaging 29.9%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2026 (growth of 229.0%); the worst was Q4 2023 (a decline of 31.8%).
- Per Business Quant data, RLI's Non Operating Interest Expenses in the three quarters before Q2 2026 was $2.35 million (Q1 2026), $1.31 million (Q4 2025) and $1.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - |
| 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 | Rli | 5.08 Bn | 1.29 Bn | 385.67 Mn | 4.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.44 Mn |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 1.36 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 1.34 Mn |
| Dec 31, 2024 | 1.49 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2023 | 1.87 Mn |
| Jun 30, 2023 | 2.05 Mn |
| Mar 31, 2023 | 2.01 Mn |
| Dec 31, 2022 | 2.01 Mn |
| Sep 30, 2022 | 2.01 Mn |
| Jun 30, 2022 | 2.01 Mn |
| Mar 31, 2022 | 2.01 Mn |
| Dec 31, 2021 | 1.97 Mn |
| Sep 30, 2021 | 1.91 Mn |
Rli Non Operating 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=non-operating-interest-expenses&ticker=RLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RLI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();