Harrow (HROW) Cash & Equivalents (2010 - 2026)
Harrow (HROW) posted Cash & Equivalents of $83.89 million for Q2 2026, up 58.4% from $52.96 million a year earlier but down 11.4% from the prior quarter.
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Analysis
Harrow (HROW) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Harrow's Cash & Equivalents came in at $72.93 million, up 54.4% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 76.1% (FY2020 to FY2025).
- In prior years, Harrow's Cash & Equivalents was $47.25 million in FY2024 (-36.2%), $74.09 million in FY2023 (-23.0%), $96.27 million in FY2022 (+128.3%) and $42.17 million in FY2021 (+880.4%).
- Quarterly Cash & Equivalents has run from a low of $19.25 million in Q1 2023 to a high of $96.27 million in Q4 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 910.2%; the weakest was Q1 2023, with a decline of 54.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $94.64 million (Q1 2026), $72.93 million (Q4 2025) and $74.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Harrow | 1.15 Bn | 821.29 Mn | 50.36 Mn | 83.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.89 Mn |
| Mar 31, 2026 | 94.64 Mn |
| Dec 31, 2025 | 72.93 Mn |
| Sep 30, 2025 | 74.29 Mn |
| Jun 30, 2025 | 52.96 Mn |
| Mar 31, 2025 | 66.73 Mn |
| Dec 31, 2024 | 47.25 Mn |
| Sep 30, 2024 | 72.60 Mn |
| Jun 30, 2024 | 70.97 Mn |
| Mar 31, 2024 | 68.54 Mn |
| Dec 31, 2023 | 74.09 Mn |
| Sep 30, 2023 | 65.61 Mn |
| Jun 30, 2023 | 22.75 Mn |
| Mar 31, 2023 | 19.25 Mn |
| Dec 31, 2022 | 96.27 Mn |
| Sep 30, 2022 | 44.96 Mn |
| Jun 30, 2022 | 46.44 Mn |
| Mar 31, 2022 | 41.95 Mn |
| Dec 31, 2021 | 42.17 Mn |
| Sep 30, 2021 | 57.86 Mn |
API Access
Harrow Cash & Equivalents 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=cash-and-equivalents&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();