Harrow (HROW) Gross Margin (2013 - 2026)
Harrow (HROW) posted Gross Margin of 71.27% for Q2 2026, down 3.26 percentage points from 74.54% a year earlier but up 10.09 percentage points from the prior quarter.
Harrow (HROW) Gross Margin (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Harrow was 73.28%, down 1.28 percentage points year-over-year; for FY2025, it was 75.05%, down 0.28 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +4.65 percentage points (FY2020 to FY2025).
- In prior years, Harrow's Gross Margin was 75.33% in FY2024 (+5.78 pp), 69.55% in FY2023 (-1.80 pp), 71.35% in FY2022 (-3.52 pp) and 74.87% in FY2021 (+4.46 pp).
- Quarterly Gross Margin has run from a low of 61.18% in Q1 2026 to a high of 79.27% in Q4 2025 over five years.
- On a year-over-year basis, Gross Margin increased in four of the last eight quarters, with an average year-over-year change of +0.45 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q4 2024, with a gain of 9.94 percentage points; the weakest was Q1 2026, with a drop of 6.36 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 61.18% (Q1 2026), 79.27% (Q4 2025) and 75.28% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 78.02% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 83.60% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 72.04% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 79.76% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 72.78% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 85.33% |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 71.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.27% |
| Mar 31, 2026 | 61.18% |
| Dec 31, 2025 | 79.27% |
| Sep 30, 2025 | 75.28% |
| Jun 30, 2025 | 74.54% |
| Mar 31, 2025 | 67.54% |
| Dec 31, 2024 | 78.85% |
| Sep 30, 2024 | 75.60% |
| Jun 30, 2024 | 74.38% |
| Mar 31, 2024 | 69.49% |
| Dec 31, 2023 | 68.91% |
| Sep 30, 2023 | 70.62% |
| Jun 30, 2023 | 70.12% |
| Mar 31, 2023 | 68.31% |
| Dec 31, 2022 | 69.67% |
| Sep 30, 2022 | 70.55% |
| Jun 30, 2022 | 71.98% |
| Mar 31, 2022 | 73.04% |
| Dec 31, 2021 | 74.84% |
| Sep 30, 2021 | 73.56% |
Harrow Gross Margin 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=gross-margin&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();