First American Financial (FAF) Cash & Equivalents (2009 - 2026)
First American Financial (FAF) posted Cash & Equivalents of $2.62 billion for Q2 2026, up 29.2% from $2.03 billion a year earlier and up 7.7% from the prior quarter.
First American Financial (FAF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, First American Financial's Cash & Equivalents came in at $1.39 billion, down 19.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, First American Financial's Cash & Equivalents was $1.72 billion in FY2024 (-52.3%), $3.61 billion in FY2023 (+194.7%), $1.22 billion in FY2022 (-0.4%) and $1.23 billion in FY2021 (-3.7%).
- Quarterly Cash & Equivalents has run from a low of $1.22 billion in Q4 2022 to a high of $3.61 billion in Q4 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 12.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 194.7%; the weakest was Q4 2024, with a decline of 52.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.44 billion (Q1 2026), $1.39 billion (Q4 2025) and $2.91 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 1.06 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 1.39 Bn |
| 10 | First American Financial | 6.20 Bn | -4.99 Bn | - | 2.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Bn |
| Mar 31, 2026 | 2.44 Bn |
| Dec 31, 2025 | 1.39 Bn |
| Sep 30, 2025 | 2.91 Bn |
| Jun 30, 2025 | 2.03 Bn |
| Mar 31, 2025 | 2.05 Bn |
| Dec 31, 2024 | 1.72 Bn |
| Sep 30, 2024 | 2.95 Bn |
| Jun 30, 2024 | 2.05 Bn |
| Mar 31, 2024 | 1.51 Bn |
| Dec 31, 2023 | 3.61 Bn |
| Sep 30, 2023 | 1.58 Bn |
| Jun 30, 2023 | 2.25 Bn |
| Mar 31, 2023 | 1.98 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 2.36 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.95 Bn |
First American Financial Cash & Equivalents 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=cash-and-equivalents&ticker=FAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();