Winnebago Industries (WGO) Inventory (2011 - 2026)
Winnebago Industries' Inventory was $435.2 million in fiscal Q3 2026 (quarter ended May 30, 2026), down 8.9% from $477.8 million a year earlier but up 6.8% from the prior quarter.
Winnebago Industries (WGO) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Inventory at Winnebago Industries came in at $396.4 million, down 9.6% from FY2024.
- Inventory has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $438.7 million in FY2024 (-6.8%), $470.6 million in FY2023 (-10.5%), $525.8 million in FY2022 (+54.0%) and $341.47 million in FY2021 (+86.7%).
- Quarterly Inventory has moved between $341.47 million (fiscal Q4 2021) and $553 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Inventory has declined for four straight quarters, with an average decline of 5.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2021 (growth of 86.7%); the worst was fiscal Q3 2024 (a decline of 14.8%).
- Per Business Quant data, WGO's Inventory in the three fiscal quarters before Q3 2026 was $407.6 million (Q2 2026), $415.1 million (Q1 2026) and $396.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 34.32 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 1.44 Bn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | 16.00 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 15.95 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 16.95 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.66 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 4.01 Bn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 27.88 Bn |
| 10 | Winnebago Industries | 763.54 Mn | 303.34 Mn | 94.90 Mn | 435.20 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 435.20 Mn |
| Feb 28, 2026 | 407.60 Mn |
| Nov 29, 2025 | 415.10 Mn |
| Aug 30, 2025 | 396.40 Mn |
| May 31, 2025 | 477.80 Mn |
| Mar 1, 2025 | 460.20 Mn |
| Nov 30, 2024 | 435.50 Mn |
| Aug 31, 2024 | 438.70 Mn |
| May 25, 2024 | 441.50 Mn |
| Feb 24, 2024 | 465.80 Mn |
| Nov 25, 2023 | 494.00 Mn |
| Aug 26, 2023 | 470.60 Mn |
| May 27, 2023 | 518.00 Mn |
| Feb 25, 2023 | 540.40 Mn |
| Nov 26, 2022 | 553.00 Mn |
| Aug 27, 2022 | 525.80 Mn |
| May 28, 2022 | 486.10 Mn |
| Feb 26, 2022 | 469.45 Mn |
| Nov 27, 2021 | 432.83 Mn |
| Aug 28, 2021 | 341.47 Mn |
Winnebago Industries Inventory 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=inventory&ticker=WGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();