Harrow (HROW) Long-Term Investments (2017 - 2022)
Harrow's Long-Term Investments was $2.1 million in Q3 2022, down 62.6% from the prior quarter.
Analysis
Harrow (HROW) Long-Term Investments (2017 - 2022) Analysis & Trends
At the end of FY2021, Long-Term Investments at Harrow came in at $11.13 million, down 60.9% from FY2020.
- Long-Term Investments shows a four-year compound annual growth rate of 33.5% (FY2017 to FY2021).
- In earlier years, Long-Term Investments was $28.46 million in FY2020 (+12.9%), $25.2 million in FY2019 (+17.6%), $21.42 million in FY2018 (+510.8%) and $3.51 million in FY2017.
- The Q3 2022 figure marks the lowest quarterly Long-Term Investments since Q2 2021.
- Compared with a year earlier, Long-Term Investments was higher in three of the last six quarters, with growth averaging 20.4%.
- The best year-over-year quarter for Long-Term Investments over five years was Q4 2018 (growth of 510.8%); the worst was Q2 2021 (a decline of 91.6%).
- Per Business Quant data, HROW's Long-Term Investments in the three quarters before Q3 2022 was $5.6 million (Q2 2022), $8.25 million (Q1 2022) and $11.13 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | - |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 268.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | - |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.45 Bn |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | 8.25 Mn |
| Dec 31, 2021 | 11.13 Mn |
| Jun 30, 2021 | 1.59 Mn |
| Mar 31, 2021 | 25.62 Mn |
| Dec 31, 2020 | 28.46 Mn |
| Sep 30, 2020 | 27.65 Mn |
| Jun 30, 2020 | 19.08 Mn |
| Mar 31, 2020 | 14.35 Mn |
| Dec 31, 2019 | 25.20 Mn |
| Sep 30, 2019 | 22.12 Mn |
| Jun 30, 2019 | 27.65 Mn |
| Mar 31, 2019 | 28.00 Mn |
| Dec 31, 2018 | 21.42 Mn |
| Sep 30, 2018 | 5.09 Mn |
| Jun 30, 2018 | 5.22 Mn |
| Mar 31, 2018 | 2.44 Mn |
| Dec 31, 2017 | 3.51 Mn |
| Sep 30, 2017 | 4.27 Mn |
API Access
Harrow Long-Term Investments 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=long-term-investments&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();