First American Financial (FAF) Cash & Equivalents (2009 - 2026)
First American Financial (FAF) posted Cash & Equivalents of $1.73 billion for Q3 2026, down 40.5% from $2.91 billion a year earlier and down 34.0% 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 three of the last eight quarters, with an average decline of 3.8%.
- 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 $2.62 billion (Q2 2026), $2.44 billion (Q1 2026) and $1.39 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 3.01 Bn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 156.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 1.84 Bn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 1.21 Bn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 2.02 Bn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | - |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 19.30 Bn |
| 10 | First American Financial | 6.87 Bn | -3.26 Bn | - | 1.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.73 Bn |
| 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 |
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();