Beazer Homes Usa (BZH) Change in Inventory (2010 - 2026)
Beazer Homes Usa (BZH) posted Change in Inventory of $117.77 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 73.5% from $67.86 million a year earlier and up 4.9% from the prior quarter.
Beazer Homes Usa (BZH) Change in Inventory (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Beazer Homes Usa was $80.92 million, down 36.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -$2.76 million.
- In prior fiscal years, Beazer Homes Usa's Change in Inventory was $282.06 million in FY2024, $14.75 million in FY2023 (-93.6%), $231.45 million in FY2022 (+56.9%) and $147.51 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Change in Inventory since fiscal Q1 2025.
- On a year-over-year basis, Change in Inventory increased in two of the last six quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q3 2022, with growth of 649.7%; the weakest was fiscal Q1 2023, with a decline of 48.9%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $112.25 million (Q2 2026), $112.57 million (Q1 2026) and -$261.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.47 Bn | 29.77 Bn | 2.15 Bn | 532.90 Mn |
| 2 | Pultegroup | 21.68 Bn | 14.97 Bn | 1.06 Bn | 430.91 Mn |
| 3 | Lennar | 18.82 Bn | 9.20 Bn | 618.54 Mn | 649.89 Mn |
| 4 | Nvr | 16.22 Bn | 9.50 Bn | 485.14 Mn | 296.78 Mn |
| 5 | Toll Brothers | 12.69 Bn | 8.07 Bn | 625.22 Mn | 328.54 Mn |
| 6 | Champion Homes | 4.30 Bn | 1.77 Bn | - | - |
| 7 | Cavco Industries | 4.05 Bn | 2.80 Bn | - | - |
| 8 | Meritage Homes | 3.95 Bn | 876.13 Mn | 513.60 Mn | -98.28 Mn |
| 9 | M | 3.19 Bn | 262.15 Mn | 235.50 Mn | 117.81 Mn |
| 10 | Beazer Homes Usa | 913.12 Mn | 788.48 Mn | 66.10 Mn | 117.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.77 Mn |
| Mar 31, 2026 | 112.25 Mn |
| Dec 31, 2025 | 112.57 Mn |
| Sep 30, 2025 | -261.67 Mn |
| Jun 30, 2025 | 67.86 Mn |
| Mar 31, 2025 | 68.73 Mn |
| Dec 31, 2024 | 122.32 Mn |
| Sep 30, 2024 | -130.60 Mn |
| Jun 30, 2024 | 113.55 Mn |
| Mar 31, 2024 | 102.78 Mn |
| Dec 31, 2023 | 196.33 Mn |
| Sep 30, 2023 | 13.52 Mn |
| Jun 30, 2023 | -1.05 Mn |
| Mar 31, 2023 | -38.21 Mn |
| Dec 31, 2022 | 40.49 Mn |
| Sep 30, 2022 | -119.98 Mn |
| Jun 30, 2022 | 177.20 Mn |
| Mar 31, 2022 | 95.07 Mn |
| Dec 31, 2021 | 79.16 Mn |
| Sep 30, 2021 | 92.64 Mn |
Beazer Homes Usa 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=BZH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "BZH", "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=BZH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();