NMI Holdings (NMIH) Operating Expenses (2012 - 2026)
NMI Holdings (NMIH) posted Operating Expenses of $50.95 million for Q2 2026, up 1.5% from $50.18 million a year earlier but down 13.0% from the prior quarter.
NMI Holdings (NMIH) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at NMI Holdings was $224.06 million, up 15.2% year-over-year; for FY2025, it came in at $206.64 million, up 10.2% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, NMI Holdings' Operating Expenses was $187.56 million in FY2024 (+12.8%), $166.3 million in FY2023 (+13.9%), $146.04 million in FY2022 (-22.5%) and $188.35 million in FY2021 (-12.5%).
- Quarterly Operating Expenses has run from a low of $31.99 million in Q3 2022 to a high of $59.59 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 13 quarters, with growth averaging 14.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 39.8%; the weakest was Q3 2022, with a decline of 31.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $58.53 million (Q1 2026), $59.59 million (Q4 2025) and $55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | NMI Holdings | 3.07 Bn | 2.75 Bn | 174.74 Mn | 50.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.95 Mn |
| Mar 31, 2026 | 58.53 Mn |
| Dec 31, 2025 | 59.59 Mn |
| Sep 30, 2025 | 55.00 Mn |
| Jun 30, 2025 | 50.18 Mn |
| Mar 31, 2025 | 41.88 Mn |
| Dec 31, 2024 | 55.63 Mn |
| Sep 30, 2024 | 46.77 Mn |
| Jun 30, 2024 | 43.48 Mn |
| Mar 31, 2024 | 41.69 Mn |
| Dec 31, 2023 | 46.20 Mn |
| Sep 30, 2023 | 40.86 Mn |
| Jun 30, 2023 | 38.64 Mn |
| Mar 31, 2023 | 40.61 Mn |
| Dec 31, 2022 | 38.33 Mn |
| Sep 30, 2022 | 31.99 Mn |
| Jun 30, 2022 | 35.03 Mn |
| Mar 31, 2022 | 40.69 Mn |
| Dec 31, 2021 | 46.91 Mn |
| Sep 30, 2021 | 46.59 Mn |
NMI Holdings Operating Expenses 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=operating-expenses&ticker=NMIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NMIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();