M/I Homes, Inc. (MHO) Operating Expenses (2010 - 2026)
M's Operating Expenses was $958.69 million in Q2 2026, down 4.4% from $1 billion a year earlier but up 15.3% from the prior quarter.
M/I Homes, Inc. (MHO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, M's Operating Expenses was $3.85 billion through Jun 30, 2026, up 0.7% year-over-year; for FY2025, it came in at $3.89 billion, up 3.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $3.77 billion in FY2024 (+10.1%), $3.43 billion in FY2023 (-2.0%), $3.5 billion in FY2022 (+8.0%) and $3.24 billion in FY2021 (+18.3%).
- Quarterly Operating Expenses has moved between $738.56 million (Q1 2022) and $1.07 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 5.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 24.0%); the worst was Q4 2023 (a decline of 20.7%).
- Per Business Quant data, MHO's Operating Expenses in the three quarters before Q2 2026 was $831.54 million (Q1 2026), $1.07 billion (Q4 2025) and $991.97 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 958.69 Mn |
| Mar 31, 2026 | 831.54 Mn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 991.97 Mn |
| Jun 30, 2025 | 1.00 Bn |
| Mar 31, 2025 | 829.97 Mn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 954.24 Mn |
| Jun 30, 2024 | 915.64 Mn |
| Mar 31, 2024 | 866.46 Mn |
| Dec 31, 2023 | 834.61 Mn |
| Sep 30, 2023 | 868.41 Mn |
| Jun 30, 2023 | 858.66 Mn |
| Mar 31, 2023 | 864.55 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 846.33 Mn |
| Jun 30, 2022 | 858.48 Mn |
| Mar 31, 2022 | 738.56 Mn |
| Dec 31, 2021 | 910.39 Mn |
| Sep 30, 2021 | 788.15 Mn |
M/I Homes, Inc. 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=MHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MHO", "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=MHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();