Winnebago Industries (WGO) Operating Expenses (2010 - 2026)
Winnebago Industries' Operating Expenses came in at $71.9 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 5.1% from $75.8 million a year earlier and down 2.6% from the prior quarter.
Winnebago Industries (WGO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 30, 2026, Winnebago Industries reported Operating Expenses of $300 million, down 12.0% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $307.9 million, down 7.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $333.3 million in FY2024 (+16.8%), $285.4 million in FY2023 (-17.5%), $345.8 million in FY2022 (+42.3%) and $243 million in FY2021 (+22.0%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2024.
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 60.0%), and the weakest in fiscal Q4 2025 (a decline of 29.4%).
- Business Quant data shows WGO's Operating Expenses at $73.8 million (Q2 2026), $75.2 million (Q1 2026) and $79.1 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Winnebago Industries | 763.54 Mn | 303.34 Mn | 94.90 Mn | 71.90 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 71.90 Mn |
| Feb 28, 2026 | 73.80 Mn |
| Nov 29, 2025 | 75.20 Mn |
| Aug 30, 2025 | 79.10 Mn |
| May 31, 2025 | 75.80 Mn |
| Mar 1, 2025 | 75.30 Mn |
| Nov 30, 2024 | 77.70 Mn |
| Aug 31, 2024 | 112.00 Mn |
| May 25, 2024 | 74.70 Mn |
| Feb 24, 2024 | 69.90 Mn |
| Nov 25, 2023 | 76.70 Mn |
| Aug 26, 2023 | 70.00 Mn |
| May 27, 2023 | 70.90 Mn |
| Feb 25, 2023 | 70.00 Mn |
| Nov 26, 2022 | 74.50 Mn |
| Aug 27, 2022 | 86.60 Mn |
| May 28, 2022 | 96.30 Mn |
| Feb 26, 2022 | 79.80 Mn |
| Nov 27, 2021 | 83.00 Mn |
| Aug 28, 2021 | 67.23 Mn |
Winnebago Industries 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=operating-expenses&ticker=WGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();