Harrow (HROW) Operating Margin (2013 - 2026)
Harrow's Operating Margin was -15.58% in Q2 2026, down 33.48 percentage points from 17.90% a year earlier but up 34.37 percentage points from the prior quarter.
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Analysis
Harrow (HROW) Operating Margin (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harrow's Operating Margin was -1.00% through Jun 30, 2026, down 7.32 percentage points year-over-year; for FY2025, it came in at 11.21%, up 6.79 percentage points from FY2024.
- Operating Margin shows a five-year change of +10.42 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 4.42% in FY2024 (+4.09 pp), 0.33% in FY2023 (-1.83 pp), 2.17% in FY2022 (-0.06 pp) and 2.23% in FY2021 (+1.44 pp).
- Quarterly Operating Margin has moved between -49.95% (Q1 2026) and 20.59% (Q3 2025) over five years.
- Compared with a year earlier, Operating Margin has declined for three straight quarters, with an average year-over-year change of -0.28 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2024 (a gain of 32.71 percentage points); the worst was Q2 2026 (a drop of 33.48 percentage points).
- Per Business Quant data, HROW's Operating Margin in the three quarters before Q2 2026 was -49.95% (Q1 2026), 17.50% (Q4 2025) and 20.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | -15.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.58% |
| Mar 31, 2026 | -49.95% |
| Dec 31, 2025 | 17.50% |
| Sep 30, 2025 | 20.59% |
| Jun 30, 2025 | 17.90% |
| Mar 31, 2025 | -23.48% |
| Dec 31, 2024 | 19.30% |
| Sep 30, 2024 | 2.68% |
| Jun 30, 2024 | 3.13% |
| Mar 31, 2024 | -20.03% |
| Dec 31, 2023 | -13.41% |
| Sep 30, 2023 | 5.09% |
| Jun 30, 2023 | 7.03% |
| Mar 31, 2023 | 4.64% |
| Dec 31, 2022 | -8.75% |
| Sep 30, 2022 | -0.41% |
| Jun 30, 2022 | 7.25% |
| Mar 31, 2022 | 9.50% |
| Dec 31, 2021 | -8.69% |
| Sep 30, 2021 | -19.87% |
API Access
Harrow Operating 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=operating-margin&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();