Whirlpool (WHR) Acquisitions (2009 - 2023)
Whirlpool (WHR) recorded Acquisitions of $14 million in FY2023, down 99.5% from $3 billion in FY2022.
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Analysis
Whirlpool (WHR) Acquisitions (2009 - 2023) Analysis & Trends
Starting with FY2009, Whirlpool's Acquisitions history includes 13 years.
- Annual Acquisitions has a five-year compound annual growth rate of -10.9% (FY2018 to FY2023).
- The FY2023 figure is the lowest annual Acquisitions since FY2016.
- Per Business Quant data, WHR's Acquisitions was $3 billion in FY2022 and $46 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 700,000.00 |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | - |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | - |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | - |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | - |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | - |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 3.00 Bn |
| Sep 30, 2018 | 23.00 Mn |
| Mar 31, 2018 | 2.00 Mn |
| Sep 30, 2017 | 3.00 Mn |
| Jun 30, 2017 | 32.00 Mn |
| Dec 31, 2016 | 2.00 Mn |
| Sep 30, 2016 | 2.00 Mn |
| Jun 30, 2016 | 8.00 Mn |
| Dec 31, 2015 | -2.00 Mn |
| Sep 30, 2015 | 51.00 Mn |
| Jun 30, 2015 | 6.00 Mn |
| Mar 31, 2015 | 15.00 Mn |
| Dec 31, 2014 | 1.28 Bn |
| Sep 30, 2014 | 39.00 Mn |
| Jun 30, 2014 | 15.00 Mn |
| Mar 31, 2014 | 21.00 Mn |
| Dec 31, 2013 | 6.00 Mn |
| Jun 30, 2013 | -2.00 Mn |
| Mar 31, 2013 | 2.00 Mn |
API Access
Whirlpool 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=WHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "WHR", "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=WHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();