Harrow (HROW) Return on Capital Employed [ROCE] (2012 - 2026)
Harrow's Return on Capital Employed [ROCE] was -0.87% in Q2 2026, down 14.49 percentage points from 13.62% a year earlier and down 7.05 percentage points from the prior quarter.
Harrow (HROW) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Harrow came in at 10.24%, up 6.84 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +9.43 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 3.40% in FY2024 (+3.17 pp), 0.23% in FY2023 (-1.52 pp), 1.76% in FY2022 (-0.61 pp) and 2.37% in FY2021 (+1.56 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in six of the last eight quarters, with an average year-over-year change of +3.80 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2025 (a gain of 17.06 percentage points); the worst was Q2 2022 (a drop of 17.37 percentage points).
- Per Business Quant data, HROW's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 6.18% (Q1 2026), 10.71% (Q4 2025) and 9.64% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Harrow | 1.14 Bn | 816.41 Mn | 50.36 Mn | -0.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.87% |
| Mar 31, 2026 | 6.18% |
| Dec 31, 2025 | 10.71% |
| Sep 30, 2025 | 9.64% |
| Jun 30, 2025 | 13.62% |
| Mar 31, 2025 | 2.38% |
| Dec 31, 2024 | 3.16% |
| Sep 30, 2024 | -3.82% |
| Jun 30, 2024 | -3.45% |
| Mar 31, 2024 | -2.94% |
| Dec 31, 2023 | 0.17% |
| Sep 30, 2023 | 1.49% |
| Jun 30, 2023 | 0.85% |
| Mar 31, 2023 | 0.61% |
| Dec 31, 2022 | 1.75% |
| Sep 30, 2022 | 2.42% |
| Jun 30, 2022 | -1.98% |
| Mar 31, 2022 | 0.90% |
| Dec 31, 2021 | 1.78% |
| Sep 30, 2021 | 6.35% |
Harrow Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();