Thor Industries (THO) Long-Term Investments (2010 - 2026)
Thor Industries (THO) recorded Long-Term Investments of $63.82 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 53.3% from $136.78 million a year earlier and down 55.5% from the prior quarter.
Thor Industries (THO) Long-Term Investments (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Thor Industries' Long-Term Investments history includes 33 quarters.
- Annual Long-Term Investments has a four-year compound annual growth rate of 55.9% (FY2022 to FY2026).
- Across earlier fiscal years, Long-Term Investments came in at $136.78 million in FY2025 (-0.4%), $137.27 million in FY2024 (+8.2%), $126.91 million in FY2023 and $10.81 million in FY2022.
- The fiscal Q4 2026 figure is the lowest quarterly Long-Term Investments since fiscal Q4 2022.
- On a year-over-year basis, Long-Term Investments rose in four of the last eight quarters, with an average decline of 4.4%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 8.2% in fiscal Q4 2024, against a decline of 53.3% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $143.35 million (Q3 2026), $135.72 million (Q2 2026) and $136.36 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 34.75 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 7.35 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 5.66 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 2.76 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 697.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.25 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 15.20 Bn |
| 10 | Thor Industries | 3.57 Bn | 1.96 Bn | 285.63 Mn | 63.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.82 Mn |
| Apr 30, 2026 | 143.35 Mn |
| Jan 31, 2026 | 135.72 Mn |
| Oct 31, 2025 | 136.36 Mn |
| Jul 31, 2025 | 136.78 Mn |
| Apr 30, 2025 | 136.21 Mn |
| Jan 31, 2025 | 136.22 Mn |
| Oct 31, 2024 | 137.77 Mn |
| Jul 31, 2024 | 137.27 Mn |
| Apr 30, 2024 | 132.27 Mn |
| Jan 31, 2024 | 128.57 Mn |
| Oct 31, 2023 | 130.10 Mn |
| Jul 31, 2023 | 126.91 Mn |
| Apr 30, 2023 | 128.33 Mn |
| Jan 31, 2023 | 124.29 Mn |
| Jul 31, 2022 | 10.81 Mn |
| Jan 31, 2020 | 41.43 Mn |
| Oct 31, 2019 | 44.09 Mn |
| Jul 31, 2019 | 46.18 Mn |
| Apr 30, 2019 | 47.75 Mn |
Thor Industries Long-Term Investments 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=long-term-investments&ticker=THO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=THO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();