Harrow (HROW) Interest Expenses (2010 - 2026)
Harrow (HROW) reported Interest Expenses of $6.26 million for Q2 2026, down 2.3% from $6.41 million a year earlier but up 13.9% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Harrow's Interest Expenses came in at $22.98 million, down 7.5% year-over-year; for FY2025, it came in at $24.18 million, up 6.1% from FY2024.
- Interest Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 45.2% (FY2021 to FY2025).
- By year, Interest Expenses came in at $22.79 million in FY2024 (+6.9%), $21.32 million in FY2023 (+194.4%), $7.24 million in FY2022 (+33.3%) and $5.44 million in FY2021.
- Five-year quarterly Interest Expenses spans a low of $1.69 million in Q3 2021 and a high of $6.55 million in Q1 2025.
- Year over year, Interest Expenses has now declined in each of the last three quarters, with growth averaging 3.9% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2022 (growth of 249.3%); the low point was Q4 2025 (a decline of 18.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.5 million (Q1 2026), $5.19 million (Q4 2025) and $6.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | - |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | - |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn | 6.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.26 Mn |
| Mar 31, 2026 | 5.50 Mn |
| Dec 31, 2025 | 5.19 Mn |
| Sep 30, 2025 | 6.04 Mn |
| Jun 30, 2025 | 6.41 Mn |
| Mar 31, 2025 | 6.55 Mn |
| Dec 31, 2024 | 6.38 Mn |
| Sep 30, 2024 | 5.53 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 5.42 Mn |
| Dec 31, 2023 | 5.12 Mn |
| Sep 30, 2023 | 5.75 Mn |
| Jun 30, 2023 | 5.70 Mn |
| Mar 31, 2023 | 4.75 Mn |
| Dec 31, 2022 | 1.86 Mn |
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 1.79 Mn |
| Mar 31, 2022 | 1.79 Mn |
| Dec 31, 2021 | 1.92 Mn |
| Sep 30, 2021 | 1.69 Mn |
API Access
Harrow Interest Expenses 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=interest-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();