Harrow (HROW) Total Liabilities (2010 - 2026)
Harrow's Total Liabilities came in at $401.62 million for Q2 2026, up 35.8% from $295.73 million a year earlier and up 2.7% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Harrow's Total Liabilities was $347.04 million, up 8.6% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 62.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $319.67 million in FY2024 (+32.2%), $241.75 million in FY2023 (+85.8%), $130.14 million in FY2022 (+48.9%) and $87.4 million in FY2021 (+185.2%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 21 consecutive quarters, with growth averaging 25.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 7.5% in Q3 2025 to 209.6% in Q1 2022.
- Business Quant data shows HROW's Total Liabilities at $391.19 million (Q1 2026), $347.04 million (Q4 2025) and $316.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 401.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 401.62 Mn |
| Mar 31, 2026 | 391.19 Mn |
| Dec 31, 2025 | 347.04 Mn |
| Sep 30, 2025 | 316.06 Mn |
| Jun 30, 2025 | 295.73 Mn |
| Mar 31, 2025 | 308.07 Mn |
| Dec 31, 2024 | 319.67 Mn |
| Sep 30, 2024 | 293.92 Mn |
| Jun 30, 2024 | 248.45 Mn |
| Mar 31, 2024 | 235.33 Mn |
| Dec 31, 2023 | 241.75 Mn |
| Sep 30, 2023 | 210.66 Mn |
| Jun 30, 2023 | 201.94 Mn |
| Mar 31, 2023 | 195.97 Mn |
| Dec 31, 2022 | 130.14 Mn |
| Sep 30, 2022 | 98.13 Mn |
| Jun 30, 2022 | 92.67 Mn |
| Mar 31, 2022 | 87.86 Mn |
| Dec 31, 2021 | 87.40 Mn |
| Sep 30, 2021 | 86.57 Mn |
API Access
Harrow Total Liabilities 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=total-liabilities&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();