Winnebago Industries (WGO) Cash & Equivalents (2010 - 2026)
Winnebago Industries' Cash & Equivalents was $57.1 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 443.8% from $10.5 million a year earlier and up 20.5% from the prior quarter.
Winnebago Industries (WGO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Cash & Equivalents at Winnebago Industries came in at $174 million, down 47.4% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $330.9 million in FY2024 (+6.8%), $309.9 million in FY2023 (+9.8%), $282.2 million in FY2022 (-35.1%) and $434.56 million in FY2021 (+48.5%).
- Quarterly Cash & Equivalents has moved between $10.5 million (fiscal Q3 2025) and $434.56 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 22.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2026 (growth of 443.8%); the worst was fiscal Q3 2025 (a decline of 96.7%).
- Per Business Quant data, WGO's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $47.4 million (Q2 2026), $181.7 million (Q1 2026) and $174 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Winnebago Industries | 743.47 Mn | 283.27 Mn | 94.90 Mn | 57.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 57.10 Mn |
| Feb 28, 2026 | 47.40 Mn |
| Nov 29, 2025 | 181.70 Mn |
| Aug 30, 2025 | 174.00 Mn |
| May 31, 2025 | 10.50 Mn |
| Mar 1, 2025 | 115.50 Mn |
| Nov 30, 2024 | 262.50 Mn |
| Aug 31, 2024 | 330.90 Mn |
| May 25, 2024 | 318.10 Mn |
| Feb 24, 2024 | 265.70 Mn |
| Nov 25, 2023 | 219.60 Mn |
| Aug 26, 2023 | 309.90 Mn |
| May 27, 2023 | 225.90 Mn |
| Feb 25, 2023 | 229.30 Mn |
| Nov 26, 2022 | 271.70 Mn |
| Aug 27, 2022 | 282.20 Mn |
| May 28, 2022 | 238.07 Mn |
| Feb 26, 2022 | 134.83 Mn |
| Nov 27, 2021 | 211.38 Mn |
| Aug 28, 2021 | 434.56 Mn |
Winnebago Industries Cash & Equivalents 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=cash-and-equivalents&ticker=WGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();