Winnebago Industries (WGO) Net of Acquisitions & Divestments (2016 - 2023)
Winnebago Industries' Net of Acquisitions & Divestments came in at -$87.5 million for FY2023 (year ended Aug 26, 2023), compared with -$228.2 million in FY2022.
Winnebago Industries (WGO) Net of Acquisitions & Divestments (2016 - 2023) Analysis & Trends
Going back to FY2011, Winnebago Industries' Net of Acquisitions & Divestments data covers 7 fiscal years.
- The FY2023 figure represents the highest annual Net of Acquisitions & Divestments since FY2019.
- Per Business Quant, earlier fiscal years put Net of Acquisitions & Divestments at -$228.2 million in FY2022, -$260.97 million in FY2020 and -$702,000 in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,204.88 Bn | 1,039.43 Bn | 4.75 Bn | - |
| 2 | Ferrari | 145.99 Bn | 138.48 Bn | 1.18 Bn | - |
| 3 | General Motors | 64.46 Bn | -38.43 Bn | 9.28 Bn | - |
| 4 | Honda Motor | 51.63 Bn | -96.53 Bn | 8.46 Bn | - |
| 5 | Ford Motor | 45.40 Bn | -97.07 Bn | 6.08 Bn | - |
| 6 | Toyota Motor | 25.90 Bn | -374.92 Bn | 20.95 Bn | - |
| 7 | Magna International | 17.93 Bn | 12.30 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.11 Bn | -7.18 Bn | 179.00 Mn | - |
| 9 | Stellantis | 11.76 Bn | -152.36 Bn | 5.55 Bn | 396.37 Mn |
| 10 | Winnebago Industries | 815.21 Mn | 347.61 Mn | 80.70 Mn | - |
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 |
Winnebago Industries Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=WGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=WGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();