NI Holdings (NODK) Operating Expenses (2015 - 2026)
NI Holdings (NODK) reported Operating Expenses of $70 million for Q2 2026, down 23.4% from $91.38 million a year earlier but up 59.5% from the prior quarter.
NI Holdings (NODK) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NI Holdings' Operating Expenses came in at $256.21 million, down 16.7% year-over-year; for FY2025, it was $297.38 million, down 5.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $315.06 million in FY2024 (+11.1%), $283.47 million in FY2023 (-11.6%), $320.66 million in FY2022 (+2.6%) and $312.67 million in FY2021 (+23.3%).
- Five-year quarterly Operating Expenses spans a low of $19.87 million in Q4 2022 and a high of $134.84 million in Q2 2022.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 192.9%); the low point was Q4 2022 (a decline of 74.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.89 million (Q1 2026), $63.89 million (Q4 2025) and $78.43 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 | NI Holdings | 304.43 Mn | 118.74 Mn | 21.82 Mn | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.00 Mn |
| Mar 31, 2026 | 43.89 Mn |
| Dec 31, 2025 | 63.89 Mn |
| Sep 30, 2025 | 78.43 Mn |
| Jun 30, 2025 | 91.38 Mn |
| Mar 31, 2025 | 63.69 Mn |
| Dec 31, 2024 | 60.08 Mn |
| Sep 30, 2024 | 92.44 Mn |
| Jun 30, 2024 | 96.88 Mn |
| Mar 31, 2024 | 65.67 Mn |
| Dec 31, 2023 | 58.20 Mn |
| Sep 30, 2023 | 77.01 Mn |
| Jun 30, 2023 | 84.34 Mn |
| Mar 31, 2023 | 87.07 Mn |
| Dec 31, 2022 | 19.87 Mn |
| Sep 30, 2022 | 102.42 Mn |
| Jun 30, 2022 | 134.84 Mn |
| Mar 31, 2022 | 63.53 Mn |
| Dec 31, 2021 | 76.94 Mn |
| Sep 30, 2021 | 91.09 Mn |
NI 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=NODK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NODK", "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=NODK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();