Harrow (HROW) Other Accumulated Expenses (2011 - 2026)
Harrow's Other Accumulated Expenses was $1.22 million in Q1 2026, down 37.6% from $1.96 million a year earlier and down 81.2% from the prior quarter.
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Analysis
Harrow (HROW) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Harrow came in at $6.5 million, up 156.0% from FY2024.
- Other Accumulated Expenses shows a three-year compound annual growth rate of 260.2% (FY2022 to FY2025).
- In earlier years, Other Accumulated Expenses was $2.54 million in FY2024, $89,000 in FY2023 (-36.0%) and $139,000 in FY2022.
- Quarterly Other Accumulated Expenses has moved between $89,000 (Q4 2023) and $6.5 million (Q4 2025) over five years.
- Per Business Quant data, HROW's Other Accumulated Expenses in the three quarters before Q1 2026 was $6.5 million (Q4 2025), $1.06 million (Q3 2025) and $1.89 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Harrow | 1.14 Bn | 816.41 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 | 89,000.00 |
| Dec 31, 2022 | 139,000.00 |
| Dec 31, 2011 | 56,087.00 |
API Access
Harrow Other 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=other-accumulated-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();