Thor Industries (THO) Amortization - Intangibles (2009 - 2026)
Thor Industries (THO) recorded Amortization - Intangibles of $28.62 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 5.7% from $30.36 million a year earlier but up 2.9% from the prior quarter.
Thor Industries (THO) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Thor Industries reported Amortization - Intangibles of $112.16 million, down 5.8% from FY2025.
- Annual Amortization - Intangibles has declined for four straight fiscal years, with a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- Across earlier fiscal years, Amortization - Intangibles came in at $119.03 million in FY2025 (-10.2%), $132.54 million in FY2024 (-5.9%), $140.81 million in FY2023 (-10.3%) and $156.95 million in FY2022 (+33.9%).
- Quarterly Amortization - Intangibles has ranged from $27.8 million in fiscal Q2 2026 to $43.35 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for eight consecutive quarters, with an average decline of 7.9% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 48.4% in fiscal Q2 2022, against a decline of 18.8% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $27.82 million (Q3 2026), $27.8 million (Q2 2026) and $27.93 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Thor Industries | 3.57 Bn | 1.96 Bn | 285.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 28.62 Mn |
| Apr 30, 2026 | 27.82 Mn |
| Jan 31, 2026 | 27.80 Mn |
| Oct 31, 2025 | 27.93 Mn |
| Jul 31, 2025 | 30.36 Mn |
| Apr 30, 2025 | 29.60 Mn |
| Jan 31, 2025 | 29.24 Mn |
| Oct 31, 2024 | 29.82 Mn |
| Jul 31, 2024 | 35.42 Mn |
| Apr 30, 2024 | 32.32 Mn |
| Jan 31, 2024 | 32.46 Mn |
| Oct 31, 2023 | 32.34 Mn |
| Jul 31, 2023 | 35.28 Mn |
| Apr 30, 2023 | 35.11 Mn |
| Jan 31, 2023 | 35.20 Mn |
| Oct 31, 2022 | 35.22 Mn |
| Jul 31, 2022 | 39.66 Mn |
| Apr 30, 2022 | 40.73 Mn |
| Jan 31, 2022 | 43.35 Mn |
| Oct 31, 2021 | 33.21 Mn |
Thor Industries Amortization - Intangibles 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=amortization-intangibles&ticker=THO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=THO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();