Harrow (HROW) Change in Receivables (2014 - 2026)
Harrow (HROW) posted Change in Receivables of $17.2 million for Q2 2026, up 766.5% from $1.99 million a year earlier.
Harrow (HROW) Change in Receivables (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Harrow was $39.57 million, up 44.5% year-over-year; for FY2025, it came in at -$5.01 million.
- In prior years, Harrow's Change in Receivables was $80.23 million in FY2024 (+164.4%), $30.34 million in FY2023, $1.86 million in FY2022 (+1.6%) and $1.83 million in FY2021 (+111.4%).
- Quarterly Change in Receivables has run from a low of -$39.2 million in Q1 2025 to a high of $62.78 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Receivables increased in three of the last five quarters, with growth averaging 301.4%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q2 2026, with growth of 766.5%; the weakest was Q2 2025, with a decline of 91.7%.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$9.83 million (Q1 2026), $33.22 million (Q4 2025) and -$1.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | Harrow | 1.15 Bn | 828.41 Mn | 50.36 Mn | 17.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.20 Mn |
| Mar 31, 2026 | -9.83 Mn |
| Dec 31, 2025 | 33.22 Mn |
| Sep 30, 2025 | -1.01 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | -39.20 Mn |
| Dec 31, 2024 | 62.78 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 24.03 Mn |
| Mar 31, 2024 | -8.40 Mn |
| Dec 31, 2023 | 18.06 Mn |
| Sep 30, 2023 | 249,000.00 |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 5.88 Mn |
| Dec 31, 2022 | -449,000.00 |
| Sep 30, 2022 | -5,000.00 |
| Jun 30, 2022 | 779,000.00 |
| Mar 31, 2022 | 1.54 Mn |
| Dec 31, 2021 | 299,000.00 |
| Sep 30, 2021 | 448,000.00 |
Harrow Change in Receivables 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-receivables&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();