Thor Industries (THO) Operating Expenses (2009 - 2026)
Thor Industries (THO) posted Operating Expenses of $206.42 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 13.2% from $237.86 million a year earlier and down 10.6% from the prior quarter.
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Analysis
Thor Industries (THO) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Thor Industries' Operating Expenses came in at $903.4 million, down 2.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- In prior fiscal years, Thor Industries' Operating Expenses was $922.55 million in FY2025 (+3.0%), $895.53 million in FY2024 (+2.9%), $870.05 million in FY2023 (-22.1%) and $1.12 billion in FY2022 (+28.3%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2022, with growth of 62.8%; the weakest was fiscal Q3 2023, with a decline of 25.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $230.93 million (Q3 2026), $212.02 million (Q2 2026) and $254.03 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Thor Industries | 3.68 Bn | 2.08 Bn | 285.63 Mn | 206.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 206.42 Mn |
| Apr 30, 2026 | 230.93 Mn |
| Jan 31, 2026 | 212.02 Mn |
| Oct 31, 2025 | 254.03 Mn |
| Jul 31, 2025 | 237.86 Mn |
| Apr 30, 2025 | 238.27 Mn |
| Jan 31, 2025 | 206.22 Mn |
| Oct 31, 2024 | 240.20 Mn |
| Jul 31, 2024 | 231.00 Mn |
| Apr 30, 2024 | 226.52 Mn |
| Jan 31, 2024 | 220.13 Mn |
| Oct 31, 2023 | 217.90 Mn |
| Jul 31, 2023 | 209.64 Mn |
| Apr 30, 2023 | 210.04 Mn |
| Jan 31, 2023 | 208.74 Mn |
| Oct 31, 2022 | 241.62 Mn |
| Jul 31, 2022 | 271.45 Mn |
| Apr 30, 2022 | 281.68 Mn |
| Jan 31, 2022 | 267.45 Mn |
| Oct 31, 2021 | 295.88 Mn |
API Access
Thor Industries 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=THO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=THO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();