Barfresh Food (BRFH) Convertible Debt (2012 - 2026)
Barfresh Food (BRFH) posted Convertible Debt of $6.99 million for Q2 2026.
Analysis
Barfresh Food (BRFH) Convertible Debt (2012 - 2026) Analysis & Trends
At the end of FY2020, Barfresh Food's Convertible Debt came in at $810,995, down 42.4% from FY2019.
- In prior years, Barfresh Food's Convertible Debt was $1.41 million in FY2019 (+3.0%) and $1.37 million in FY2018.
- The Q2 2026 figure stands as the highest quarterly Convertible Debt in data going back to Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn |
| 10 | Barfresh Food | 13.78 Mn | 10.52 Mn | -150,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.99 Mn |
| Dec 31, 2020 | 810,995.00 |
| Sep 30, 2020 | 961,030.00 |
| Jun 30, 2020 | 948,102.00 |
| Mar 31, 2020 | 934,273.00 |
| Dec 31, 2019 | 1.41 Mn |
| Sep 30, 2019 | 480,905.00 |
| Jun 30, 2019 | 412,561.00 |
| Mar 31, 2019 | 344,217.00 |
| Dec 31, 2018 | 1.37 Mn |
| Sep 30, 2018 | 1.36 Mn |
| Jun 30, 2018 | 1.26 Mn |
| Mar 31, 2018 | 1.18 Mn |
| Jun 30, 2015 | 376,855.00 |
| Sep 30, 2014 | 218,024.00 |
| Jun 30, 2014 | 191,759.00 |
| Mar 31, 2014 | 193,059.00 |
| Dec 31, 2013 | 152,115.00 |
| Sep 30, 2013 | 136,803.00 |
| Jun 30, 2013 | 392,660.00 |
API Access
Barfresh Food Convertible Debt 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=convertible-debt&ticker=BRFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "BRFH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=BRFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();