Security National Financial (SNFCA) Cash & Equivalents (2010 - 2026)
Security National Financial (SNFCA) recorded Cash & Equivalents of $163.44 million in Q2 2026, up 106.1% from $79.32 million a year earlier and up 8.9% from the prior quarter.
Security National Financial (SNFCA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Security National Financial reported Cash & Equivalents of $102.26 million, down 31.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $150.1 million in FY2024 (+7.3%), $139.92 million in FY2023 (+4.8%), $133.48 million in FY2022 (-5.6%) and $141.41 million in FY2021 (+22.5%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 106.1% in Q2 2026, against a decline of 44.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $150.12 million (Q1 2026), $102.26 million (Q4 2025) and $100.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 1.39 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 1.06 Bn |
| 10 | Security National Financial | 213.91 Mn | -1.82 Bn | 59.61 Mn | 163.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.44 Mn |
| Mar 31, 2026 | 150.12 Mn |
| Dec 31, 2025 | 102.26 Mn |
| Sep 30, 2025 | 100.40 Mn |
| Jun 30, 2025 | 79.32 Mn |
| Mar 31, 2025 | 132.95 Mn |
| Dec 31, 2024 | 150.10 Mn |
| Sep 30, 2024 | 170.71 Mn |
| Jun 30, 2024 | 143.63 Mn |
| Mar 31, 2024 | 150.93 Mn |
| Dec 31, 2023 | 139.92 Mn |
| Sep 30, 2023 | 134.75 Mn |
| Jun 30, 2023 | 110.29 Mn |
| Mar 31, 2023 | 99.55 Mn |
| Dec 31, 2022 | 133.48 Mn |
| Sep 30, 2022 | 84.95 Mn |
| Jun 30, 2022 | 131.30 Mn |
| Mar 31, 2022 | 145.63 Mn |
| Dec 31, 2021 | 141.41 Mn |
| Sep 30, 2021 | 111.50 Mn |
Security National 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=SNFCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SNFCA", "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=SNFCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();