NMI Holdings (NMIH) Return on Sales [ROS] (2013 - 2026)
NMI Holdings' Return on Sales [ROS] was 65.89% in Q2 2026, up 2.50 percentage points from 63.39% a year earlier and up 9.05 percentage points from the prior quarter.
NMI Holdings (NMIH) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, NMI Holdings' Return on Sales [ROS] was 59.28% through Jun 30, 2026, down 5.42 percentage points year-over-year; for FY2025, it came in at 62.59%, down 3.75 percentage points from FY2024.
- Return on Sales [ROS] has now declined for three consecutive years, though with a five-year change of +6.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 66.34% in FY2024 (-1.03 pp), 67.37% in FY2023 (-4.04 pp), 71.41% in FY2022 (+12.77 pp) and 58.63% in FY2021 (+2.67 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -4.42 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 15.17 percentage points); the worst was Q1 2026 (a drop of 16.41 percentage points).
- Per Business Quant data, NMIH's Return on Sales [ROS] in the three quarters before Q2 2026 was 56.84% (Q1 2026), 55.32% (Q4 2025) and 58.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.11 Bn | 84.69 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 133.28 Bn | 109.11 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 17.70% |
| 4 | Travelers Companies | 84.07 Bn | 60.32 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 75.63 Bn | -19.25 Bn | - | 11.89% |
| 6 | Arthur J. Gallagher | 69.03 Bn | 63.44 Bn | - | 14.54% |
| 7 | Allstate | 65.01 Bn | 26.28 Bn | 8.73 Bn | -30.76% |
| 8 | Aon | 64.59 Bn | 57.81 Bn | - | 21.55% |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | -53.77% |
| 10 | NMI Holdings | 3.23 Bn | 2.91 Bn | 174.74 Mn | 65.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.89% |
| Mar 31, 2026 | 56.84% |
| Dec 31, 2025 | 55.32% |
| Sep 30, 2025 | 58.84% |
| Jun 30, 2025 | 63.39% |
| Mar 31, 2025 | 73.24% |
| Dec 31, 2024 | 56.23% |
| Sep 30, 2024 | 65.63% |
| Jun 30, 2024 | 73.01% |
| Mar 31, 2024 | 70.96% |
| Dec 31, 2023 | 59.06% |
| Sep 30, 2023 | 69.17% |
| Jun 30, 2023 | 70.91% |
| Mar 31, 2023 | 65.41% |
| Dec 31, 2022 | 70.83% |
| Sep 30, 2022 | 70.10% |
| Jun 30, 2022 | 68.51% |
| Mar 31, 2022 | 64.54% |
| Dec 31, 2021 | 59.27% |
| Sep 30, 2021 | 56.16% |
NMI Holdings 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=NMIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NMIH", "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=NMIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();