Mohawk Industries (MHK) Acquisitions (2010 - 2023)
Mohawk Industries' (MHK) quarterly Acquisitions came in at -$4.0 million in Q3 2023, down 100.77% quarter-over-quarter from $519.4 million in Q2 2023.
Mohawk Industries (MHK) Acquisitions (2010 - 2023) Analysis & Trends
Mohawk Industries has disclosed Acquisitions across 10 years of filings, most recently posting -$4.0 million for Q3 2023.
- In Q3 2023, Acquisitions changed N/A year-over-year to -$4.0 million; the TTM figure through Mar 2024 stood at -$4.0 million (down 100.55% YoY), while the FY2025 annual figure was $6.9 million, changed N/A from the prior year.
- Acquisitions came in at -$4.0 million for Q3 2023 at Mohawk Industries, down from $519.4 million in the prior quarter.
- In the past five years, Acquisitions ranged from a high of $519.4 million in Q2 2023 to a low of -$4.0 million in Q3 2023.
- Average Acquisitions over 4 years is $93.0 million, with a median of $49.6 million recorded in 2021.
- Year-over-year, Acquisitions sank 115.0% in 2022 and surged 54716.19% in 2023.
- Over 4 years, Acquisitions stood at $4.2 million in 2019, then soared by 1004.65% to $46.8 million in 2021, then increased by 11.85% to $52.3 million in 2022, then tumbled by 107.64% to -$4.0 million in 2023.
- Per Business Quant data, the three most recent Acquisitions figures were -$4.0 million in Q3 2023, $519.4 million in Q2 2023, and $52.3 million in Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 1.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | - |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | - |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Mohawk Industries | 8.55 Bn | 7.70 Bn | 795.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2023 | -4.00 Mn |
| Apr 1, 2023 | 519.40 Mn |
| Dec 31, 2022 | 52.33 Mn |
| Oct 1, 2022 | 158.23 Mn |
| Apr 2, 2022 | -951,000.00 |
| Dec 31, 2021 | 46.78 Mn |
| Oct 2, 2021 | 70.85 Mn |
| Apr 3, 2021 | 6.34 Mn |
| Dec 31, 2019 | 4.24 Mn |
| Mar 30, 2019 | 76.85 Mn |
| Dec 31, 2018 | 143.66 Mn |
| Sep 29, 2018 | 400.89 Mn |
| Mar 31, 2018 | 24.41 Mn |
| Dec 31, 2017 | 33,000.00 |
| Sep 30, 2017 | 298,000.00 |
| Jul 1, 2017 | 249.64 Mn |
| Apr 1, 2017 | 827,000.00 |
| Dec 31, 2015 | 158.85 Mn |
| Oct 3, 2015 | 20.43 Mn |
| Jul 4, 2015 | 1.19 Bn |
Mohawk 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=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "MHK", "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=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();