Security National Financial (SNFCA) Return on Sales [ROS] (2010 - 2026)
Security National Financial (SNFCA) reported Return on Sales [ROS] of -15.08% for Q2 2026, up 1.42 percentage points from -16.50% a year earlier and up 4.34 percentage points from the prior quarter.
Security National Financial (SNFCA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Security National Financial's Return on Sales [ROS] came in at -29.48%, up 3.42 percentage points year-over-year; for FY2025, it was -17.24%, up 1.66 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -31.29 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -18.90% in FY2024 (-22.51 pp), 3.61% in FY2023 (-4.00 pp), 7.61% in FY2022 (-2.55 pp) and 10.16% in FY2021 (-3.89 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -118.38% in Q4 2024 and a high of 25.51% in Q4 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -18.17 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 22.38 percentage points); the low point was Q4 2024 (a drop of 118.66 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -19.42% (Q1 2026), -96.00% (Q4 2025) and 9.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 11.89% |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 14.54% |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 21.55% |
| 10 | Security National Financial | 207.54 Mn | -1.83 Bn | 59.61 Mn | -15.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.08% |
| Mar 31, 2026 | -19.42% |
| Dec 31, 2025 | -96.00% |
| Sep 30, 2025 | 9.83% |
| Jun 30, 2025 | -16.50% |
| Mar 31, 2025 | -20.79% |
| Dec 31, 2024 | -118.38% |
| Sep 30, 2024 | 15.88% |
| Jun 30, 2024 | 9.50% |
| Mar 31, 2024 | 10.28% |
| Dec 31, 2023 | 0.29% |
| Sep 30, 2023 | 4.60% |
| Jun 30, 2023 | 8.23% |
| Mar 31, 2023 | 0.50% |
| Dec 31, 2022 | 25.51% |
| Sep 30, 2022 | -5.56% |
| Jun 30, 2022 | 3.65% |
| Mar 31, 2022 | 3.05% |
| Dec 31, 2021 | 4.95% |
| Sep 30, 2021 | 11.02% |
Security National Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SNFCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SNFCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();