M (MHO) Change in Inventory (2010 - 2026)
M (MHO) posted Change in Inventory of $117.81 million for Q2 2026, up 54.4% from $76.31 million a year earlier.
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Analysis
M (MHO) Change in Inventory (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at M was $205.93 million, down 39.0% year-over-year; for FY2025, it came in at $313.47 million, up 5.3% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In prior years, M's Change in Inventory was $297.73 million in FY2024, -$46.73 million in FY2023, $348.65 million in FY2022 (-31.4%) and $508.19 million in FY2021 (+276.6%).
- Quarterly Change in Inventory has run from a low of -$184.39 million in Q4 2022 to a high of $278.89 million in Q3 2021 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last four quarters, with growth averaging 66.4%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q2 2024, with growth of 773.9%; the weakest was Q2 2023, with a decline of 91.2%.
- According to Business Quant data, Change in Inventory for the three prior quarters was -$41.77 million (Q1 2026), -$1.08 million (Q4 2025) and $130.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 532.90 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | 430.91 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 436.85 Mn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 296.78 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 328.54 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 127.34 Mn |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - | - |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - | - |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn | -98.28 Mn |
| 10 | M | 3.42 Bn | 491.29 Mn | 235.50 Mn | 117.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.81 Mn |
| Mar 31, 2026 | -41.77 Mn |
| Dec 31, 2025 | -1.08 Mn |
| Sep 30, 2025 | 130.96 Mn |
| Jun 30, 2025 | 76.31 Mn |
| Mar 31, 2025 | 107.28 Mn |
| Dec 31, 2024 | -37.33 Mn |
| Sep 30, 2024 | 191.19 Mn |
| Jun 30, 2024 | 159.64 Mn |
| Mar 31, 2024 | -15.78 Mn |
| Dec 31, 2023 | 61.90 Mn |
| Sep 30, 2023 | 48.42 Mn |
| Jun 30, 2023 | 18.27 Mn |
| Mar 31, 2023 | -175.32 Mn |
| Dec 31, 2022 | -184.39 Mn |
| Sep 30, 2022 | 196.57 Mn |
| Jun 30, 2022 | 207.18 Mn |
| Mar 31, 2022 | 129.30 Mn |
| Dec 31, 2021 | 96.01 Mn |
| Sep 30, 2021 | 278.89 Mn |
API Access
M Change in Inventory 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=change-in-inventory&ticker=MHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();