Thor Industries (THO) Amortizatization of Intangibles (2009 - 2026)
Thor Industries' Amortizatization of Intangibles came in at $28.62 million for 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) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Thor Industries' Amortizatization of Intangibles was $112.16 million, down 5.8% from FY2025.
- Amortizatization of Intangibles has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- Going back by fiscal year, Amortizatization of Intangibles was $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%).
- The five-year range for quarterly Amortizatization of Intangibles is $27.8 million (fiscal Q2 2026) to $43.35 million (fiscal Q2 2022).
- Year-over-year, Amortizatization of Intangibles has declined for eight consecutive quarters, with an average decline of 7.9% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in fiscal Q2 2022 (growth of 48.4%), and the weakest in fiscal Q2 2023 (a decline of 18.8%).
- Business Quant data shows THO's Amortizatization of Intangibles at $27.82 million (Q3 2026), $27.8 million (Q2 2026) and $27.93 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | - |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | - |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | - |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | - |
| 10 | Thor Industries | 3.59 Bn | 1.98 Bn | 285.63 Mn | 28.62 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 Amortizatization of 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=amortizatization-of-intangibles&ticker=THO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=THO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();