Monster Beverage (MNST) Non Operating Income (2009 - 2019)
Monster Beverage's (MNST) quarterly Non Operating Income came in at $4.2 million in Q4 2019, down 4.47% year-over-year from $4.4 million in Q4 2018, and up 34.19% quarter-over-quarter from $3.1 million in Q3 2019.
Monster Beverage (MNST) Non Operating Income (2009 - 2019) Analysis & Trends
Monster Beverage (MNST) has reported Non Operating Income for 9 consecutive years, with $4.2 million the latest figure, recorded in Q4 2019.
- On a quarterly basis, Non Operating Income fell 4.47% year-over-year to $4.2 million in Q4 2019; TTM through Dec 2019 was $13.0 million, a 34.92% increase from a year earlier, with the FY2019 full-year figure at $13.0 million, up 34.91% from the prior year.
- Non Operating Income was $4.2 million for Q4 2019 at Monster Beverage, up from $3.1 million in the prior quarter.
- Over five years, Non Operating Income peaked at $4.4 million in Q4 2018 and troughed at -$2.6 million in Q2 2017.
- A 3-year average of $2.1 million and a median of $2.9 million in 2019 frame the typical range for Non Operating Income.
- Across the five-year window, Non Operating Income slipped 25.23% in 2018 and jumped 524.58% in 2019, its largest moves.
- Over 3 years, Non Operating Income stood at $733000.0 in 2017, then surged by 498.09% to $4.4 million in 2018, then slipped by 4.47% to $4.2 million in 2019.
- The last three Non Operating Income figures came in at $4.2 million (Q4 2019), $3.1 million (Q3 2019), and $3.0 million (Q2 2019), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 4.19 Mn |
| Sep 30, 2019 | 3.12 Mn |
| Jun 30, 2019 | 2.97 Mn |
| Mar 31, 2019 | 2.74 Mn |
| Dec 31, 2018 | 4.38 Mn |
| Sep 30, 2018 | 2.99 Mn |
| Jun 30, 2018 | 476,000.00 |
| Mar 31, 2018 | 1.81 Mn |
| Dec 31, 2017 | 733,000.00 |
| Sep 30, 2017 | 4.00 Mn |
| Jun 30, 2017 | -2.55 Mn |
| Mar 31, 2017 | 658,000.00 |
| Dec 31, 2014 | -1.01 Mn |
| Sep 30, 2014 | -1.04 Mn |
| Jun 30, 2014 | 178,000.00 |
| Mar 31, 2014 | 154,000.00 |
| Dec 31, 2013 | -3.01 Mn |
| Sep 30, 2013 | -706,000.00 |
| Jun 30, 2013 | -3.40 Mn |
| Mar 31, 2013 | -1.90 Mn |
Monster Beverage Non Operating Income 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=non-operating-income&ticker=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();