Winnebago Industries (WGO) Intangibles (2011 - 2026)
Winnebago Industries' Intangibles came in at $440.7 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 4.7% from $462.4 million a year earlier and down 1.2% from the prior quarter.
Winnebago Industries (WGO) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Winnebago Industries' Intangibles was $456.9 million, down 4.6% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Going back by fiscal year, Intangibles was $479 million in FY2024 (-4.6%), $502 million in FY2023 (+6.3%), $472.4 million in FY2022 (+21.0%) and $390.41 million in FY2021 (-3.5%).
- The fiscal Q3 2026 figure represents the lowest quarterly Intangibles since fiscal Q4 2021.
- Year-over-year, Intangibles has declined for nine consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q1 2022 (growth of 23.0%), and the weakest in fiscal Q1 2023 (a decline of 5.1%).
- Business Quant data shows WGO's Intangibles at $446.1 million (Q2 2026), $451.5 million (Q1 2026) and $456.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.58 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.98 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 4.91 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 | 430.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 18.36 Bn |
| 10 | Winnebago Industries | 745.45 Mn | 285.25 Mn | 94.90 Mn | 440.70 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 440.70 Mn |
| Feb 28, 2026 | 446.10 Mn |
| Nov 29, 2025 | 451.50 Mn |
| Aug 30, 2025 | 456.90 Mn |
| May 31, 2025 | 462.40 Mn |
| Mar 1, 2025 | 467.90 Mn |
| Nov 30, 2024 | 473.40 Mn |
| Aug 31, 2024 | 479.00 Mn |
| May 25, 2024 | 485.10 Mn |
| Feb 24, 2024 | 490.70 Mn |
| Nov 25, 2023 | 496.40 Mn |
| Aug 26, 2023 | 502.00 Mn |
| May 27, 2023 | 507.70 Mn |
| Feb 25, 2023 | 464.80 Mn |
| Nov 26, 2022 | 468.60 Mn |
| Aug 27, 2022 | 472.40 Mn |
| May 28, 2022 | 477.60 Mn |
| Feb 26, 2022 | 485.62 Mn |
| Nov 27, 2021 | 493.64 Mn |
| Aug 28, 2021 | 390.41 Mn |
Winnebago Industries 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=intangibles&ticker=WGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "WGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();