Harrow (HROW) Inventory (2014 - 2026)
Harrow's Inventory was $16.91 million in Q2 2026, up 46.4% from $11.55 million a year earlier and up 2.5% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Inventory (2014 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Harrow came in at $13.52 million, up 26.4% from FY2024.
- Inventory shows a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- In earlier years, Inventory was $10.7 million in FY2024 (-1.5%), $10.87 million in FY2023 (+66.1%), $6.54 million in FY2022 (+55.1%) and $4.22 million in FY2021 (+6.4%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q2 2014.
- Compared with a year earlier, Inventory has increased for five straight quarters, with growth averaging 23.4% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q1 2023 (growth of 106.8%); the worst was Q1 2022 (a decline of 2.2%).
- Per Business Quant data, HROW's Inventory in the three quarters before Q2 2026 was $16.5 million (Q1 2026), $13.52 million (Q4 2025) and $12.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 16.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.91 Mn |
| Mar 31, 2026 | 16.50 Mn |
| Dec 31, 2025 | 13.52 Mn |
| Sep 30, 2025 | 12.83 Mn |
| Jun 30, 2025 | 11.55 Mn |
| Mar 31, 2025 | 10.72 Mn |
| Dec 31, 2024 | 10.70 Mn |
| Sep 30, 2024 | 10.16 Mn |
| Jun 30, 2024 | 9.43 Mn |
| Mar 31, 2024 | 10.81 Mn |
| Dec 31, 2023 | 10.87 Mn |
| Sep 30, 2023 | 8.92 Mn |
| Jun 30, 2023 | 8.56 Mn |
| Mar 31, 2023 | 9.09 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 5.28 Mn |
| Jun 30, 2022 | 5.13 Mn |
| Mar 31, 2022 | 4.40 Mn |
| Dec 31, 2021 | 4.22 Mn |
| Sep 30, 2021 | 3.93 Mn |
API Access
Harrow Inventory 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=inventory&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();