White Mountains Insurance (WTM) Interest Expenses (2009 - 2026)
White Mountains Insurance (WTM) reported Interest Expenses of $19.8 million for Q2 2026, up 6.5% from $18.6 million a year earlier and up 2.6% from the prior quarter.
White Mountains Insurance (WTM) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, White Mountains Insurance's Interest Expenses came in at $81.1 million, up 20.7% year-over-year; for FY2025, it was $78.4 million, up 28.9% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 60.3% (FY2020 to FY2025).
- By year, Interest Expenses came in at $60.8 million in FY2024 (-3.0%), $62.7 million in FY2023 (+55.6%), $40.3 million in FY2022 (+96.6%) and $20.5 million in FY2021 (+177.0%).
- Five-year quarterly Interest Expenses spans a low of $4.4 million in Q3 2021 and a high of $22.1 million in Q4 2025.
- Year over year, Interest Expenses has now increased in each of the last six quarters, with growth averaging 14.9% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2022 (growth of 215.6%); the low point was Q1 2022 (a decline of 47.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.3 million (Q1 2026), $22.1 million (Q4 2025) and $19.9 million (Q3 2025).
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 | White Mountains Insurance | 4.79 Bn | -5.89 Bn | 764.50 Mn | 19.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.80 Mn |
| Mar 31, 2026 | 19.30 Mn |
| Dec 31, 2025 | 22.10 Mn |
| Sep 30, 2025 | 19.90 Mn |
| Jun 30, 2025 | 18.60 Mn |
| Mar 31, 2025 | 17.80 Mn |
| Dec 31, 2024 | 14.10 Mn |
| Sep 30, 2024 | 16.70 Mn |
| Jun 30, 2024 | 14.80 Mn |
| Mar 31, 2024 | 15.20 Mn |
| Dec 31, 2023 | 17.80 Mn |
| Sep 30, 2023 | 15.70 Mn |
| Jun 30, 2023 | 14.20 Mn |
| Mar 31, 2023 | 15.00 Mn |
| Dec 31, 2022 | 12.80 Mn |
| Sep 30, 2022 | 10.50 Mn |
| Jun 30, 2022 | 10.10 Mn |
| Mar 31, 2022 | 6.90 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 4.40 Mn |
White Mountains 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=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "WTM", "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=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();