M (MHO) Operating Expenses (2010 - 2026)
Analysis
M (MHO) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 42.23 Bn | 32.53 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 24.45 Bn | 17.81 Bn | 1.07 Bn | 397.20 Mn |
| 3 | Lennar | 20.89 Bn | 11.26 Bn | 618.54 Mn | 7.59 Bn |
| 4 | Nvr | 16.29 Bn | 10.42 Bn | 482.36 Mn | 135.02 Mn |
| 5 | Toll Brothers | 14.27 Bn | 9.64 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Cavco Industries | 5.07 Bn | 4.03 Bn | 147.61 Mn | 77.71 Mn |
| 7 | Champion Homes | 5.06 Bn | 2.27 Bn | 185.60 Mn | 119.82 Mn |
| 8 | Meritage Homes | 4.37 Bn | 1.35 Bn | 410.22 Mn | 45.17 Mn |
| 9 | M | 3.35 Bn | 533.96 Mn | - | 989.19 Mn |
| 10 | Kb Home | 3.06 Bn | 2.26 Bn | -857.09 Mn | 148.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 989.19 Mn |
| 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 |
API Access
M 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();