Horton D R (DHI) EBITDA (2009 - 2026)
Horton D R (DHI) recorded EBITDA of $1.18 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.2% from $1.29 billion a year earlier but up 43.0% from the prior quarter.
Horton D R (DHI) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Horton D R's EBITDA came in at $3.92 billion as of Jun 30, 2026, down 21.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.53 billion, down 24.9% from FY2024.
- Annual EBITDA has declined for three straight fiscal years, though with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $6.02 billion in FY2024 (-2.7%), $6.19 billion in FY2023 (-19.1%), $7.65 billion in FY2022 (+41.7%) and $5.4 billion in FY2021 (+81.2%).
- Quarterly EBITDA has ranged from $757.3 million in fiscal Q1 2026 to $2.19 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EBITDA has declined for nine consecutive quarters, with an average decline of 21.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 60.0% in fiscal Q4 2021, against a decline of 35.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $828.1 million (Q2 2026), $757.3 million (Q1 2026) and $1.15 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 1.18 Bn |
| 2 | Pultegroup | 22.34 Bn | 15.63 Bn | 1.06 Bn | 700.63 Mn |
| 3 | Lennar | 17.27 Bn | 6.70 Bn | 807.31 Mn | -6.70 Bn |
| 4 | Nvr | 16.72 Bn | 10.01 Bn | 485.14 Mn | 340.85 Mn |
| 5 | Toll Brothers | 12.58 Bn | 7.96 Bn | 625.22 Mn | 380.08 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 242.40 Mn |
| 7 | Champion Homes | 4.80 Bn | 2.28 Bn | - | - |
| 8 | Cavco Industries | 4.31 Bn | 3.07 Bn | - | - |
| 9 | Meritage Homes | 4.24 Bn | 1.16 Bn | 513.60 Mn | 467.30 Mn |
| 10 | M | 3.48 Bn | 550.71 Mn | 235.50 Mn | -718.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 828.10 Mn |
| Dec 31, 2025 | 757.30 Mn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.62 Bn |
| Jun 30, 2024 | 1.74 Bn |
| Mar 31, 2024 | 1.47 Bn |
| Dec 31, 2023 | 1.19 Bn |
| Sep 30, 2023 | 1.96 Bn |
| Jun 30, 2023 | 1.76 Bn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 1.25 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 2.19 Bn |
| Mar 31, 2022 | 1.89 Bn |
| Dec 31, 2021 | 1.50 Bn |
| Sep 30, 2021 | 1.73 Bn |
Horton D R EBITDA 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=ebitda&ticker=DHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "DHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=DHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();