First American Financial (FAF) Interest Expenses (2009 - 2026)
First American Financial's Interest Expenses was $45.7 million in Q2 2026, up 20.3% from $38 million a year earlier and up 9.1% from the prior quarter.
First American Financial (FAF) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, First American Financial's Interest Expenses was $171.4 million through Jun 30, 2026, up 12.0% year-over-year; for FY2025, it was $157 million, up 4.9% from FY2024.
- Interest Expenses has now increased for 13 consecutive years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $149.6 million in FY2024 (+12.9%), $132.5 million in FY2023 (+42.5%), $93 million in FY2022 (+28.5%) and $72.4 million in FY2021 (+27.0%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q2 2009.
- Compared with a year earlier, Interest Expenses has increased for 54 straight quarters, with growth averaging 11.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Interest Expenses ran from 0.5% in Q4 2025 to 74.1% in Q2 2023.
- Per Business Quant data, FAF's Interest Expenses in the three quarters before Q2 2026 was $41.9 million (Q1 2026), $43.9 million (Q4 2025) and $39.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 168.00 Mn |
| 10 | First American Financial | 6.53 Bn | -4.65 Bn | - | 45.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.70 Mn |
| Mar 31, 2026 | 41.90 Mn |
| Dec 31, 2025 | 43.90 Mn |
| Sep 30, 2025 | 39.90 Mn |
| Jun 30, 2025 | 38.00 Mn |
| Mar 31, 2025 | 35.20 Mn |
| Dec 31, 2024 | 43.70 Mn |
| Sep 30, 2024 | 36.20 Mn |
| Jun 30, 2024 | 35.40 Mn |
| Mar 31, 2024 | 34.30 Mn |
| Dec 31, 2023 | 33.30 Mn |
| Sep 30, 2023 | 35.80 Mn |
| Jun 30, 2023 | 34.30 Mn |
| Mar 31, 2023 | 29.10 Mn |
| Dec 31, 2022 | 29.60 Mn |
| Sep 30, 2022 | 24.00 Mn |
| Jun 30, 2022 | 19.70 Mn |
| Mar 31, 2022 | 19.70 Mn |
| Dec 31, 2021 | 20.40 Mn |
| Sep 30, 2021 | 19.00 Mn |
First American Financial 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=FAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FAF", "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=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();