Winnebago Industries (WGO) Acquisitions (2016 - 2023)
Winnebago Industries' Acquisitions came in at $87.5 million for FY2023 (year ended Aug 26, 2023), down 61.7% from $228.2 million in FY2022.
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Analysis
Winnebago Industries (WGO) Acquisitions (2016 - 2023) Analysis & Trends
Going back to FY2011, Winnebago Industries' Acquisitions data covers 7 fiscal years.
- Acquisitions carries a five-year compound annual growth rate of 1.5% (FY2018 to FY2023).
- The FY2023 figure represents the lowest annual Acquisitions since FY2019.
- Per Business Quant, earlier fiscal years put Acquisitions at $228.2 million in FY2022, $260.97 million in FY2020 and $702,000 in FY2019 (-99.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | - |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | - |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | - |
| 10 | Winnebago Industries | 763.54 Mn | 303.34 Mn | 94.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 27, 2023 | 87.50 Mn |
| Nov 27, 2021 | 228.20 Mn |
| May 30, 2020 | -3.32 Mn |
| Nov 30, 2019 | 264.28 Mn |
| Nov 24, 2018 | 702,000.00 |
| Aug 25, 2018 | 81.20 Mn |
| Aug 26, 2017 | -2.22 Mn |
| Feb 25, 2017 | -141,000.00 |
| Nov 26, 2016 | 394.84 Mn |
API Access
Winnebago Industries Acquisitions 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=acquisitions&ticker=WGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();