Monster Beverage (MNST) Acquisitions (2022 - 2023)
Monster Beverage's (MNST) quarterly Acquisitions came in at $363.4 million in Q3 2023, up 41206.9% quarter-over-quarter from -$884000.0 in Q2 2022.
Monster Beverage (MNST) Acquisitions (2022 - 2023) Analysis & Trends
Monster Beverage (MNST) has reported Acquisitions for 2 consecutive years, with $363.4 million the latest figure, recorded in Q3 2023.
- On a quarterly basis, Acquisitions changed N/A year-over-year to $363.4 million in Q3 2023; TTM through Dec 2023 was $363.4 million, a 10.29% increase from a year earlier, with the FY2023 full-year figure at $363.4 million, up 10.29% from the prior year.
- Acquisitions was $363.4 million for Q3 2023 at Monster Beverage, up from -$884000.0 in the prior quarter.
- Over five years, Acquisitions peaked at $363.4 million in Q3 2023 and troughed at -$884000.0 in Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | - |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | - |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | - |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | - |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | - |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | - |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | - |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 15.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 363.39 Mn |
| Jun 30, 2022 | -884,000.00 |
| Mar 31, 2022 | 330.36 Mn |
Monster Beverage 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=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "MNST", "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=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();