Harrow (HROW) Return on Equity [ROE] (2012 - 2026)
Harrow's Return on Equity [ROE] came in at -153.64% for Q2 2026, down 134.23 percentage points from -19.41% a year earlier and down 125.94 percentage points from the prior quarter.
Harrow (HROW) Return on Equity [ROE] (2012 - 2026) Analysis & Trends
For FY2025, Harrow's Return on Equity [ROE] was -8.44%, up 16.58 percentage points from FY2024.
- Return on Equity [ROE] has increased in each of the last four years, with a five-year change of +4.16 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was -25.03% in FY2024 (+24.97 pp), -50.00% in FY2023 (+23.81 pp), -73.80% in FY2022 (+21.57 pp) and -95.38% in FY2021 (-82.77 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Equity [ROE] since Q3 2022.
- Year-over-year, Return on Equity [ROE] increased in six of the last eight quarters, with an average year-over-year change of -3.39 percentage points.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q3 2023 (a gain of 692.04 percentage points), and the weakest in Q3 2022 (a drop of 672.85 percentage points).
- Business Quant data shows HROW's Return on Equity [ROE] at -27.70% (Q1 2026), -2.75% (Q4 2025) and -10.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Harrow | 1.15 Bn | 828.41 Mn | 50.36 Mn | -153.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -153.64% |
| Mar 31, 2026 | -27.70% |
| Dec 31, 2025 | -2.75% |
| Sep 30, 2025 | -10.36% |
| Jun 30, 2025 | -19.41% |
| Mar 31, 2025 | -34.60% |
| Dec 31, 2024 | -27.55% |
| Sep 30, 2024 | -57.70% |
| Jun 30, 2024 | -56.73% |
| Mar 31, 2024 | -47.98% |
| Dec 31, 2023 | -33.48% |
| Sep 30, 2023 | -29.16% |
| Jun 30, 2023 | -74.72% |
| Mar 31, 2023 | -75.01% |
| Dec 31, 2022 | -100.25% |
| Sep 30, 2022 | -721.20% |
| Jun 30, 2022 | -322.84% |
| Mar 31, 2022 | -199.95% |
| Dec 31, 2021 | -132.58% |
| Sep 30, 2021 | -48.35% |
Harrow Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();