Harrow (HROW) Change in Inventory (2014 - 2026)
Harrow (HROW) posted Change in Inventory of $414,000 for Q2 2026, down 50.5% from $836,000 a year earlier and down 86.1% from the prior quarter.
Harrow (HROW) Change in Inventory (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Harrow was $5.36 million, up 151.9% year-over-year; for FY2025, it was $2.82 million.
- Annual Change in Inventory shows a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In prior years, Harrow's Change in Inventory was -$165,000 in FY2024, $4.33 million in FY2023 (+86.1%), $2.32 million in FY2022 (+811.4%) and $255,000 in FY2021 (-61.4%).
- The Q2 2026 figure stands as the lowest quarterly Change in Inventory since Q1 2025.
- On a year-over-year basis, Change in Inventory increased in three of the last five quarters, with growth averaging 15.5%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q3 2022, with growth of 586.4%; the weakest was Q3 2021, with a decline of 83.5%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $2.97 million (Q1 2026), $689,000 (Q4 2025) and $1.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 150.00 Mn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 148.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 105.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 252.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | - |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn | 414,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 414,000.00 |
| Mar 31, 2026 | 2.97 Mn |
| Dec 31, 2025 | 689,000.00 |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 836,000.00 |
| Mar 31, 2025 | 14,000.00 |
| Dec 31, 2024 | 546,000.00 |
| Sep 30, 2024 | 731,000.00 |
| Jun 30, 2024 | -1.39 Mn |
| Mar 31, 2024 | -57,000.00 |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 369,000.00 |
| Jun 30, 2023 | -538,000.00 |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 1.26 Mn |
| Sep 30, 2022 | 151,000.00 |
| Jun 30, 2022 | 736,000.00 |
| Mar 31, 2022 | 179,000.00 |
| Dec 31, 2021 | 292,000.00 |
| Sep 30, 2021 | 22,000.00 |
Harrow Change in 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=change-in-inventory&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();