Harrow (HROW) Accumulated Expenses (2014 - 2026)
Harrow's Accumulated Expenses came in at $2.71 million for Q4 2023, up 498.9% from $453,000 a year earlier.
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Analysis
Harrow (HROW) Accumulated Expenses (2014 - 2026) Analysis & Trends
Going back to Q3 2014, Harrow's Accumulated Expenses data covers 7 quarters.
- Going back by year, Accumulated Expenses was $453,000 in FY2022.
- Business Quant data shows HROW's Accumulated Expenses at $59,000 (Q3 2023), $106,000 (Q2 2023) and $307,000 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 6.50 Mn |
| Sep 30, 2025 | 1.06 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.96 Mn |
| Dec 31, 2024 | 2.54 Mn |
| Dec 31, 2023 | 2.71 Mn |
| Sep 30, 2023 | 59,000.00 |
| Jun 30, 2023 | 106,000.00 |
| Mar 31, 2023 | 307,000.00 |
| Dec 31, 2022 | 453,000.00 |
| Sep 30, 2017 | 251,000.00 |
| Sep 30, 2014 | 38,173.00 |
API Access
Harrow Accumulated 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=accumulated-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();