Harrow (HROW) Long-Term Debt Issuances (2011 - 2026)
Harrow (HROW) recorded Long-Term Debt Issuances of $49 million in Q1 2026.
Analysis
Harrow (HROW) Long-Term Debt Issuances (2011 - 2026) Analysis & Trends
For FY2025, Harrow reported Long-Term Debt Issuances of $244.38 million, up 720.6% from FY2024.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of 200.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Issuances came in at $29.78 million in FY2024 (-46.7%), $55.88 million in FY2023 and $71.07 million in FY2021.
- The Q1 2026 figure is the lowest quarterly Long-Term Debt Issuances since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | - |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.98 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | - |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Harrow | 1.05 Bn | 728.28 Mn | 50.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 49.00 Mn |
| Sep 30, 2025 | 244.38 Mn |
| Jun 30, 2023 | -61.59 Mn |
| Mar 31, 2023 | 122.43 Mn |
| Mar 31, 2016 | 2.77 Mn |
| Dec 31, 2015 | -38,000.00 |
| Sep 30, 2011 | 27,537.00 |
API Access
Harrow Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();