Harrow (HROW) Amortizatization of Intangibles (2014 - 2026)
Harrow (HROW) posted Amortizatization of Intangibles of $5.53 million for Q2 2026, up 30.8% from $4.23 million a year earlier and up 7.8% from the prior quarter.
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Harrow (HROW) Amortizatization of Intangibles (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Harrow was $19.2 million, up 26.9% year-over-year; for FY2025, it came in at $16.99 million, up 44.2% from FY2024.
- Annual Amortizatization of Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 152.1% (FY2020 to FY2025).
- In prior years, Harrow's Amortizatization of Intangibles was $11.78 million in FY2024 (+16.9%), $10.08 million in FY2023 (+538.9%), $1.58 million in FY2022 (+880.1%) and $161,000 in FY2021 (-3.6%).
- The Q2 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2014.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last eight quarters, with growth averaging 39.8% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q2 2022, with growth of 920.5%; the weakest was Q2 2024, with a decline of 10.3%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $5.13 million (Q1 2026), $4.32 million (Q4 2025) and $4.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 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 | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Harrow | 1.14 Bn | 816.41 Mn | 50.36 Mn | 5.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Mn |
| Mar 31, 2026 | 5.13 Mn |
| Dec 31, 2025 | 4.32 Mn |
| Sep 30, 2025 | 4.22 Mn |
| Jun 30, 2025 | 4.23 Mn |
| Mar 31, 2025 | 4.23 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Sep 30, 2024 | 2.61 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 2.55 Mn |
| Dec 31, 2023 | 2.45 Mn |
| Sep 30, 2023 | 2.58 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | 2.21 Mn |
| Dec 31, 2022 | 378,000.00 |
| Sep 30, 2022 | 398,000.00 |
| Jun 30, 2022 | 398,000.00 |
| Mar 31, 2022 | 404,000.00 |
| Dec 31, 2021 | 39,000.00 |
| Sep 30, 2021 | 43,000.00 |
API Access
Harrow Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();