Harrow (HROW) Return on Sales [ROS] (2013 - 2026)
Harrow (HROW) posted Return on Sales [ROS] of -15.58% for 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) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Harrow was -1.00%, down 7.32 percentage points year-over-year; for FY2025, it came in at 11.21%, up 6.79 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +10.42 percentage points (FY2020 to FY2025).
- In prior years, Harrow's Return on Sales [ROS] 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 Return on Sales [ROS] has run from a low of -49.95% in Q1 2026 to a high of 20.59% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -0.28 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 32.71 percentage points; the weakest was Q2 2026, with a drop of 33.48 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Harrow | 1.14 Bn | 816.41 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();