Harrow (HROW) Other Operating Expenses (2013 - 2024)
Harrow's Other Operating Expenses was $253,000 in Q4 2024, down 33.4% from $380,000 a year earlier.
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Analysis
Harrow (HROW) Other Operating Expenses (2013 - 2024) Analysis & Trends
From Q4 2013 onward, Harrow has reported Other Operating Expenses for 18 quarters.
- Other Operating Expenses shows a five-year compound annual growth rate of -42.5% (FY2019 to FY2024).
- In earlier years, Other Operating Expenses was $380,000 in FY2023, $249,000 in FY2021 (-31.4%) and $363,000 in FY2020 (-91.0%).
- The Q4 2024 figure marks the lowest quarterly Other Operating Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Harrow | 1.15 Bn | 828.41 Mn | 50.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 253,000.00 |
| Dec 31, 2023 | 380,000.00 |
| Dec 31, 2021 | 249,000.00 |
| Jun 30, 2020 | 363,000.00 |
| Sep 30, 2019 | 4.04 Mn |
| Dec 31, 2016 | 1.42 Mn |
| Sep 30, 2016 | 2.10 Mn |
| Jun 30, 2016 | 2.27 Mn |
| Mar 31, 2016 | 1.90 Mn |
| Dec 31, 2015 | 2.04 Mn |
| Sep 30, 2015 | 1.81 Mn |
| Jun 30, 2015 | 1.63 Mn |
| Mar 31, 2015 | 1.01 Mn |
| Dec 31, 2014 | 928,000.00 |
| Sep 30, 2014 | 637,000.00 |
| Jun 30, 2014 | 469,000.00 |
| Mar 31, 2014 | 382,000.00 |
| Dec 31, 2013 | 85,890.00 |
API Access
Harrow Other Operating 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-operating-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();