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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Harrow | 1.18 Bn | 850.90 Mn | 50.36 Mn | 414,000.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();