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.
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 | 1,208.58 Bn | 1,034.61 Bn | 4.75 Bn | - |
| 2 | Ferrari | 71.33 Bn | 63.82 Bn | 1.18 Bn | - |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | - |
| 4 | Ford Motor | 48.34 Bn | -94.15 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 45.65 Bn | -104.16 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.69 Bn | 12.72 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.48 Bn | -6.83 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn | -396.37 Mn |
| 10 | Winnebago Industries | 658.40 Mn | 198.20 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_KEY
import 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();