Kinsale Capital (KNSL) Operating Expenses (2015 - 2026)
Kinsale Capital (KNSL) recorded Operating Expenses of $328.72 million in Q2 2026, up 9.0% from $301.53 million a year earlier and up 0.5% from the prior quarter.
Kinsale Capital (KNSL) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Kinsale Capital's Operating Expenses came in at $1.28 billion as of Jun 30, 2026, up 10.6% year-over-year; for FY2025, it came in at $1.24 billion, up 15.6% from FY2024.
- Annual Operating Expenses has increased for 11 straight years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.07 billion in FY2024 (+27.6%), $840.43 million in FY2023 (+30.7%), $643.24 million in FY2022 (+38.4%) and $464.67 million in FY2021 (+29.3%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2015.
- On a year-over-year basis, Operating Expenses has increased for 41 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 5.1% (Q1 2026) and 52.6% (Q3 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $327.05 million (Q1 2026), $308.45 million (Q4 2025) and $318.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Kinsale Capital | 7.36 Bn | 3.98 Bn | 317.60 Mn | 328.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 328.72 Mn |
| Mar 31, 2026 | 327.05 Mn |
| Dec 31, 2025 | 308.45 Mn |
| Sep 30, 2025 | 318.63 Mn |
| Jun 30, 2025 | 301.53 Mn |
| Mar 31, 2025 | 311.09 Mn |
| Dec 31, 2024 | 273.47 Mn |
| Sep 30, 2024 | 273.66 Mn |
| Jun 30, 2024 | 268.75 Mn |
| Mar 31, 2024 | 256.92 Mn |
| Dec 31, 2023 | 221.15 Mn |
| Sep 30, 2023 | 218.87 Mn |
| Jun 30, 2023 | 205.66 Mn |
| Mar 31, 2023 | 194.75 Mn |
| Dec 31, 2022 | 164.06 Mn |
| Sep 30, 2022 | 181.96 Mn |
| Jun 30, 2022 | 151.43 Mn |
| Mar 31, 2022 | 141.45 Mn |
| Dec 31, 2021 | 137.22 Mn |
| Sep 30, 2021 | 119.21 Mn |
Kinsale Capital Operating 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=operating-expenses&ticker=KNSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KNSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=KNSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();