Barfresh Food (BRFH) EPS (Basic) (2010 - 2026)
Barfresh Food (BRFH) posted EPS (Basic) of -$0.12 for Q2 2026, compared with -$0.06 a year earlier.
Analysis
Barfresh Food (BRFH) EPS (Basic) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Barfresh Food was -$0.23; for FY2025, it came in at -$0.17.
- In prior years, Barfresh Food's EPS (Basic) was -$0.19 in FY2024, -$0.21 in FY2023, -$0.47 in FY2022 and -$0.10 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly EPS (Basic) since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 1.03 |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | 0.21 |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 2.18 |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 2.35 |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 0.30 |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | 0.04 |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 0.10 |
| 10 | Barfresh Food | 13.45 Mn | 10.20 Mn | -150,000.00 | -0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.12 |
| Dec 31, 2025 | -0.05 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | -0.06 |
| Mar 31, 2025 | -0.05 |
| Dec 31, 2024 | -0.06 |
| Sep 30, 2024 | -0.03 |
| Jun 30, 2024 | -0.07 |
| Mar 31, 2024 | -0.03 |
| Dec 31, 2023 | -0.05 |
| Sep 30, 2023 | -0.04 |
| Jun 30, 2023 | -0.06 |
| Mar 31, 2023 | -0.07 |
| Dec 31, 2022 | -0.14 |
| Sep 30, 2022 | -0.21 |
| Jun 30, 2022 | -0.06 |
| Mar 31, 2022 | -0.07 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2021 | -0.04 |
| Jun 30, 2021 | -0.02 |
API Access
Barfresh Food EPS (Basic) 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=eps-basic&ticker=BRFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=BRFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();