Harrow (HROW) Tax Provisions (2017 - 2026)
Harrow's Tax Provisions was $25,000 in Q1 2026.
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Analysis
Harrow (HROW) Tax Provisions (2017 - 2026) Analysis & Trends
For FY2025, Tax Provisions at Harrow came in at $3.77 million.
- Tax Provisions shows a five-year compound annual growth rate of 293.4% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $161,000 in FY2024 (-77.0%), $701,000 in FY2023 (+834.7%), $75,000 in FY2022 (-43.6%) and $133,000 in FY2021.
- The Q1 2026 figure marks the highest quarterly Tax Provisions since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Harrow | 1.15 Bn | 828.41 Mn | 50.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 25,000.00 |
| Dec 31, 2024 | -514,000.00 |
| Sep 30, 2024 | 20,000.00 |
| Jun 30, 2024 | 655,000.00 |
| Dec 31, 2023 | -535,000.00 |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | -15,000.00 |
| Mar 31, 2023 | -288,000.00 |
| Sep 30, 2022 | 35,000.00 |
| Jun 30, 2022 | 40,000.00 |
| Dec 31, 2017 | -851,000.00 |
| Sep 30, 2017 | -28,000.00 |
| Jun 30, 2017 | -28,000.00 |
| Mar 31, 2017 | -28,000.00 |
API Access
Harrow Tax Provisions 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=tax-provisions&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();