Thor Industries (THO) EBITDA (2009 - 2026)
Thor Industries' EBITDA came in at $148.71 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 27.2% from $204.4 million a year earlier and down 21.6% from the prior quarter.
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Analysis
Thor Industries (THO) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Thor Industries' EBITDA was $575.59 million, down 16.5% from FY2025.
- EBITDA has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -14.4% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $689.29 million in FY2025 (-17.3%), $833.58 million in FY2024 (-16.9%), $1 billion in FY2023 (-49.2%) and $1.97 billion in FY2022 (+57.2%).
- The five-year range for quarterly EBITDA is $104.11 million (fiscal Q2 2026) to $597.42 million (fiscal Q3 2022).
- Year-over-year, EBITDA has declined for three consecutive quarters, with an average decline of 13.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2022 (growth of 82.3%), and the weakest in fiscal Q2 2023 (a decline of 70.7%).
- Business Quant data shows THO's EBITDA at $189.79 million (Q3 2026), $104.11 million (Q2 2026) and $132.98 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Thor Industries | 3.68 Bn | 2.08 Bn | 285.63 Mn | 148.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 148.71 Mn |
| Apr 30, 2026 | 189.79 Mn |
| Jan 31, 2026 | 104.11 Mn |
| Oct 31, 2025 | 132.98 Mn |
| Jul 31, 2025 | 204.40 Mn |
| Apr 30, 2025 | 271.02 Mn |
| Jan 31, 2025 | 104.97 Mn |
| Oct 31, 2024 | 108.91 Mn |
| Jul 31, 2024 | 243.93 Mn |
| Apr 30, 2024 | 263.49 Mn |
| Jan 31, 2024 | 118.84 Mn |
| Oct 31, 2023 | 207.31 Mn |
| Jul 31, 2023 | 258.76 Mn |
| Apr 30, 2023 | 290.74 Mn |
| Jan 31, 2023 | 141.87 Mn |
| Oct 31, 2022 | 311.85 Mn |
| Jul 31, 2022 | 468.39 Mn |
| Apr 30, 2022 | 597.42 Mn |
| Jan 31, 2022 | 483.72 Mn |
| Oct 31, 2021 | 424.49 Mn |
API Access
Thor Industries 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=THO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "THO", "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=THO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();