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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 3.59 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 3.33 Bn |
| 10 | NMI Holdings | 3.09 Bn | 2.77 Bn | 174.74 Mn | 50.95 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();