Winnebago Industries (WGO) Other Operating Expenses (2010 - 2026)
Winnebago Industries (WGO) posted Other Operating Expenses of $5.4 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 1.8% from $5.5 million a year earlier and unchanged from the prior quarter.
Winnebago Industries (WGO) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, Other Operating Expenses at Winnebago Industries was $21.6 million, down 59.3% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $22.1 million, down 58.5% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior fiscal years, Winnebago Industries' Other Operating Expenses was $53.3 million in FY2024 (+201.1%), $17.7 million in FY2023 (-39.8%), $29.4 million in FY2022 (+104.2%) and $14.4 million in FY2021 (-34.9%).
- Quarterly Other Operating Expenses has run from a low of $3.63 million in fiscal Q4 2021 to a high of $36.4 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last six quarters, with growth averaging 55.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2024, with growth of 538.6%; the weakest was fiscal Q4 2025, with a decline of 85.2%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $5.4 million (Q2 2026), $5.4 million (Q1 2026) and $5.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 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 |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Winnebago Industries | 745.45 Mn | 285.25 Mn | 94.90 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 5.40 Mn |
| Feb 28, 2026 | 5.40 Mn |
| Nov 29, 2025 | 5.40 Mn |
| Aug 30, 2025 | 5.40 Mn |
| May 31, 2025 | 5.50 Mn |
| Mar 1, 2025 | 5.60 Mn |
| Nov 30, 2024 | 5.60 Mn |
| Aug 31, 2024 | 36.40 Mn |
| May 25, 2024 | 5.60 Mn |
| Feb 24, 2024 | 5.70 Mn |
| Nov 25, 2023 | 5.60 Mn |
| Aug 26, 2023 | 5.70 Mn |
| May 27, 2023 | 4.40 Mn |
| Feb 25, 2023 | 3.80 Mn |
| Nov 26, 2022 | 3.80 Mn |
| Aug 27, 2022 | 5.20 Mn |
| May 28, 2022 | 8.00 Mn |
| Feb 26, 2022 | 8.00 Mn |
| Nov 27, 2021 | 8.20 Mn |
| Aug 28, 2021 | 3.63 Mn |
Winnebago Industries Other Operating Expenses 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=other-operating-expenses&ticker=WGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();