Harrow (HROW) Revenue (2013 - 2026)
Harrow (HROW) reported Revenue of $70.66 million for Q2 2026, up 10.9% from $63.74 million a year earlier and up 59.9% from the prior quarter.
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Analysis
Harrow (HROW) Revenue (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Harrow's Revenue came in at $275.59 million, up 21.1% year-over-year; for FY2025, it was $272.3 million, up 36.4% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 41.0% (FY2020 to FY2025).
- By year, Revenue came in at $199.61 million in FY2024 (+53.3%), $130.19 million in FY2023 (+47.0%), $88.6 million in FY2022 (+22.2%) and $72.48 million in FY2021 (+48.3%).
- Five-year quarterly Revenue spans a low of $18.71 million in Q3 2021 and a high of $89.09 million in Q4 2025.
- Year over year, Revenue gained in seven of the last eight quarters, with growth averaging 34.8%.
- The high point for year-over-year Revenue in five years was Q4 2024 (growth of 83.8%); the low point was Q1 2026 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44.2 million (Q1 2026), $89.09 million (Q4 2025) and $71.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 70.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.66 Mn |
| Mar 31, 2026 | 44.20 Mn |
| Dec 31, 2025 | 89.09 Mn |
| Sep 30, 2025 | 71.64 Mn |
| Jun 30, 2025 | 63.74 Mn |
| Mar 31, 2025 | 47.83 Mn |
| Dec 31, 2024 | 66.83 Mn |
| Sep 30, 2024 | 49.26 Mn |
| Jun 30, 2024 | 48.94 Mn |
| Mar 31, 2024 | 34.59 Mn |
| Dec 31, 2023 | 36.36 Mn |
| Sep 30, 2023 | 34.27 Mn |
| Jun 30, 2023 | 33.47 Mn |
| Mar 31, 2023 | 26.10 Mn |
| Dec 31, 2022 | 20.33 Mn |
| Sep 30, 2022 | 22.82 Mn |
| Jun 30, 2022 | 23.32 Mn |
| Mar 31, 2022 | 22.12 Mn |
| Dec 31, 2021 | 20.19 Mn |
| Sep 30, 2021 | 18.71 Mn |
API Access
Harrow Revenue 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=revenue&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();