Harrow (HROW) Price to FCF (2020 - 2026)
Harrow's (HROW) Price to FCF was 317.38 for Q2 2026, down 28.0% from 441.10 a year earlier but up 245.2% from the prior quarter.
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Analysis
Harrow (HROW) Price to FCF (2020 - 2026) Analysis & Trends
For FY2025, Price to FCF at Harrow was 42.45.
- By year, Price to FCF came in at 165.50 in FY2023 and 70.52 in FY2021.
- Five-year quarterly Price to FCF spans a low of 42.45 in Q4 2025 and a high of 2252.73 in Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 91.94 (Q1 2026), 42.45 (Q4 2025) and 107.66 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Harrow | 1.15 Bn | 821.29 Mn | 50.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.38 |
| Mar 31, 2026 | 91.94 |
| Dec 31, 2025 | 42.45 |
| Sep 30, 2025 | 107.66 |
| Jun 30, 2025 | 441.10 |
| Mar 31, 2025 | 2,252.73 |
| Sep 30, 2024 | 526.85 |
| Mar 31, 2024 | 73.48 |
| Dec 31, 2023 | 165.50 |
| Sep 30, 2022 | 157.79 |
| Jun 30, 2022 | 168.29 |
| Mar 31, 2022 | 213.87 |
| Dec 31, 2021 | 70.52 |
| Sep 30, 2021 | 57.20 |
| Jun 30, 2021 | 27.57 |
| Mar 31, 2021 | 97.17 |
| Mar 31, 2020 | 244.05 |
API Access
Harrow Price 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=price-to-fcf&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();