Harrow (HROW) EV to FCF (2020 - 2026)
Harrow's (HROW) EV to FCF was 300.58 for Q2 2026, down 28.5% from 420.12 a year earlier but up 252.4% from the prior quarter.
Harrow (HROW) EV to FCF (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Harrow's EV to FCF came in at 252.36, down 27.2% year-over-year; for FY2025, it was 40.74.
- By year, EV to FCF came in at 130.57 in FY2023 and 55.04 in FY2021.
- Five-year quarterly EV to FCF spans a low of 40.74 in Q4 2025 and a high of 2093.40 in Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 85.29 (Q1 2026), 40.74 (Q4 2025) and 103.16 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.58 |
| Mar 31, 2026 | 85.29 |
| Dec 31, 2025 | 40.74 |
| Sep 30, 2025 | 103.16 |
| Jun 30, 2025 | 420.12 |
| Mar 31, 2025 | 2,093.40 |
| Sep 30, 2024 | 502.84 |
| Mar 31, 2024 | 61.50 |
| Dec 31, 2023 | 130.57 |
| Sep 30, 2022 | 133.90 |
| Jun 30, 2022 | 123.90 |
| Mar 31, 2022 | 154.76 |
| Dec 31, 2021 | 55.04 |
| Sep 30, 2021 | 41.25 |
| Jun 30, 2021 | 18.14 |
| Mar 31, 2021 | 93.37 |
| Mar 31, 2020 | 233.00 |
Harrow EV to FCF 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=ev-to-fcf&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "HROW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();