Harrow (HROW) Non-Current Assets (2010 - 2026)
Harrow (HROW) recorded Non-Current Assets of $187.51 million in Q2 2026, down 1.4% from $190.14 million a year earlier and down 2.9% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Harrow reported Non-Current Assets of $187.73 million, down 5.8% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 425.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $199.32 million in FY2024 (+15.4%), $172.68 million in FY2023, $107,000 in FY2022 (-74.0%) and $412,000 in FY2021 (+776.6%).
- Quarterly Non-Current Assets has ranged from $36,000 in Q3 2021 to $204.48 million in Q3 2024 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for four consecutive quarters, with growth averaging 3.8% over the last seven quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 917.0% in Q2 2022, against a decline of 74.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $193.16 million (Q1 2026), $187.73 million (Q4 2025) and $185.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 187.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.51 Mn |
| Mar 31, 2026 | 193.16 Mn |
| Dec 31, 2025 | 187.73 Mn |
| Sep 30, 2025 | 185.47 Mn |
| Jun 30, 2025 | 190.14 Mn |
| Mar 31, 2025 | 194.63 Mn |
| Dec 31, 2024 | 199.32 Mn |
| Sep 30, 2024 | 204.48 Mn |
| Jun 30, 2024 | 167.24 Mn |
| Mar 31, 2024 | 170.08 Mn |
| Dec 31, 2023 | 172.68 Mn |
| Sep 30, 2023 | 811,000.00 |
| Jun 30, 2023 | 905,000.00 |
| Mar 31, 2023 | 1.04 Mn |
| Dec 31, 2022 | 107,000.00 |
| Sep 30, 2022 | 1.66 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 771,000.00 |
| Dec 31, 2021 | 412,000.00 |
| Sep 30, 2021 | 36,000.00 |
API Access
Harrow Non-Current Assets 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=non-current-assets&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();