Winnebago Industries (WGO) Goodwill & Intangibles (2011 - 2026)
Winnebago Industries (WGO) recorded Goodwill & Intangibles of $924.9 million in fiscal Q3 2026 (quarter ended May 30, 2026), down 2.3% from $946.6 million a year earlier and down 0.6% from the prior quarter.
Winnebago Industries (WGO) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Winnebago Industries reported Goodwill & Intangibles of $941.1 million, down 2.3% from FY2024.
- Annual Goodwill & Intangibles has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier fiscal years, Goodwill & Intangibles came in at $963.2 million in FY2024 (-5.2%), $1.02 billion in FY2023 (+6.3%), $956.6 million in FY2022 (+29.5%) and $738.51 million in FY2021 (-1.9%).
- The fiscal Q3 2026 figure is the lowest quarterly Goodwill & Intangibles since fiscal Q4 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined for nine consecutive quarters, with an average decline of 3.8% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 30.5% in fiscal Q1 2022, against a decline of 5.3% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $930.3 million (Q2 2026), $935.7 million (Q1 2026) and $941.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | Winnebago Industries | 743.47 Mn | 283.27 Mn | 94.90 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 924.90 Mn |
| Feb 28, 2026 | 930.30 Mn |
| Nov 29, 2025 | 935.70 Mn |
| Aug 30, 2025 | 941.10 Mn |
| May 31, 2025 | 946.60 Mn |
| Mar 1, 2025 | 952.10 Mn |
| Nov 30, 2024 | 957.60 Mn |
| Aug 31, 2024 | 963.20 Mn |
| May 25, 2024 | 999.60 Mn |
| Feb 24, 2024 | 1.01 Bn |
| Nov 25, 2023 | 1.01 Bn |
| Aug 26, 2023 | 1.02 Bn |
| May 27, 2023 | 1.02 Bn |
| Feb 25, 2023 | 949.00 Mn |
| Nov 26, 2022 | 952.80 Mn |
| Aug 27, 2022 | 956.60 Mn |
| May 28, 2022 | 961.80 Mn |
| Feb 26, 2022 | 969.82 Mn |
| Nov 27, 2021 | 977.84 Mn |
| Aug 28, 2021 | 738.51 Mn |
Winnebago Industries Goodwill & 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=goodwill-and-intangibles&ticker=WGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();