Monster Beverage (MNST) Property, Plant & Equipment (Net) Growth (3y) (2012 - 2026)
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Analysis
Monster Beverage (MNST) Property, Plant & Equipment (Net) Growth (3y) (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) Growth (3y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | -0.24% |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | 5.39% |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | 3.87% |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 6.71% |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 23.86% |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -1.14% |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | 10.53% |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 36.45% |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 8.54% |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 5.78% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.86% |
| Mar 31, 2026 | 25.33% |
| Dec 31, 2025 | 27.90% |
| Sep 30, 2025 | 31.76% |
| Dec 31, 2024 | 49.44% |
| Sep 30, 2024 | 48.16% |
| Jun 30, 2024 | 45.94% |
| Mar 31, 2024 | 43.55% |
| Dec 31, 2023 | 41.46% |
| Sep 30, 2023 | 33.88% |
| Mar 31, 2023 | 22.69% |
| Dec 31, 2022 | 20.07% |
| Sep 30, 2022 | 24.48% |
| Dec 31, 2021 | 8.88% |
| Sep 30, 2021 | 8.43% |
| Jun 30, 2021 | 8.71% |
| Mar 31, 2021 | 10.53% |
| Dec 31, 2020 | 10.97% |
| Sep 30, 2020 | 10.57% |
| Mar 31, 2020 | 15.94% |
API Access
Monster Beverage Property, Plant & Equipment (Net) Growth (3y) 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=property-plant-and-equipment-net-growth-3y&ticker=MNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-3y", "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=property-plant-and-equipment-net-growth-3y&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();