Harrow (HROW) EPS (Diluted) (2016 - 2026)
Harrow's EPS (Diluted) came in at -$0.46 for Q2 2026, compared with $0.13 a year earlier.
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Analysis
Harrow (HROW) EPS (Diluted) (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Harrow reported EPS (Diluted) of -$1.00; for FY2025, it was -$0.14.
- Going back by year, EPS (Diluted) was -$0.49 in FY2024, -$0.75 in FY2023, -$0.51 in FY2022 and -$0.68 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$0.74 (Q1 2026) to $0.19 (Q4 2024).
- Business Quant data shows HROW's EPS (Diluted) at -$0.74 (Q1 2026), $0.18 (Q4 2025) and $0.03 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.31 |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | -0.46 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.46 |
| Mar 31, 2026 | -0.74 |
| Dec 31, 2025 | 0.18 |
| Sep 30, 2025 | 0.03 |
| Jun 30, 2025 | 0.13 |
| Mar 31, 2025 | -0.50 |
| Dec 31, 2024 | 0.19 |
| Sep 30, 2024 | -0.12 |
| Jun 30, 2024 | -0.18 |
| Mar 31, 2024 | -0.38 |
| Dec 31, 2023 | -0.28 |
| Sep 30, 2023 | -0.13 |
| Jun 30, 2023 | -0.14 |
| Mar 31, 2023 | -0.22 |
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | -0.24 |
| Jun 30, 2022 | -0.23 |
| Mar 31, 2022 | -0.09 |
| Dec 31, 2021 | -0.27 |
| Sep 30, 2021 | -0.31 |
API Access
Harrow EPS (Diluted) 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-diluted&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();