Harrow (HROW) Assets (2010 - 2026)
Harrow's Assets came in at $416.82 million for Q2 2026, up 20.8% from $345.03 million a year earlier but down 0.6% from the prior quarter.
Analysis
Harrow (HROW) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Harrow's Assets was $399.48 million, up 2.7% from FY2024.
- Assets has increased in each of the last five years, with a five-year compound annual growth rate of 47.4% (FY2020 to FY2025).
- Going back by year, Assets was $388.97 million in FY2024 (+24.6%), $312.16 million in FY2023 (+98.4%), $157.38 million in FY2022 (+60.1%) and $98.33 million in FY2021 (+71.1%).
- The five-year range for quarterly Assets is $97.6 million (Q1 2022) to $419.54 million (Q1 2026).
- Year-over-year, Assets has increased for 15 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in Q3 2023 (growth of 189.0%), and the weakest in Q2 2022 (a decline of 8.3%).
- Business Quant data shows HROW's Assets at $419.54 million (Q1 2026), $399.48 million (Q4 2025) and $363.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 416.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 416.82 Mn |
| Mar 31, 2026 | 419.54 Mn |
| Dec 31, 2025 | 399.48 Mn |
| Sep 30, 2025 | 363.07 Mn |
| Jun 30, 2025 | 345.03 Mn |
| Mar 31, 2025 | 364.16 Mn |
| Dec 31, 2024 | 388.97 Mn |
| Sep 30, 2024 | 351.54 Mn |
| Jun 30, 2024 | 306.63 Mn |
| Mar 31, 2024 | 295.54 Mn |
| Dec 31, 2023 | 312.16 Mn |
| Sep 30, 2023 | 286.07 Mn |
| Jun 30, 2023 | 223.99 Mn |
| Mar 31, 2023 | 217.50 Mn |
| Dec 31, 2022 | 157.38 Mn |
| Sep 30, 2022 | 98.99 Mn |
| Jun 30, 2022 | 98.06 Mn |
| Mar 31, 2022 | 97.60 Mn |
| Dec 31, 2021 | 98.33 Mn |
| Sep 30, 2021 | 102.80 Mn |
API Access
Harrow Assets 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=assets&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();