Harrow (HROW) Receivables (2014 - 2026)
Harrow (HROW) reported Receivables of $118.56 million for Q2 2026, up 50.4% from $78.82 million a year earlier and up 17.1% from the prior quarter.
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Analysis
Harrow (HROW) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Harrow posted Receivables of $110.9 million, down 4.7% from FY2024.
- Receivables has a five-year compound annual growth rate of 99.5% (FY2020 to FY2025).
- By year, Receivables came in at $116.37 million in FY2024 (+220.9%), $36.26 million in FY2023 (+467.6%), $6.39 million in FY2022 (+41.4%) and $4.52 million in FY2021 (+28.6%).
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q1 2014.
- Year over year, Receivables gained in seven of the last eight quarters, with growth averaging 148.5%.
- The high point for year-over-year Receivables in five years was Q4 2022 (growth of 943.2%); the low point was Q4 2021 (a decline of 90.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $101.26 million (Q1 2026), $110.9 million (Q4 2025) and $77.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 118.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.56 Mn |
| Mar 31, 2026 | 101.26 Mn |
| Dec 31, 2025 | 110.90 Mn |
| Sep 30, 2025 | 77.60 Mn |
| Jun 30, 2025 | 78.82 Mn |
| Mar 31, 2025 | 77.06 Mn |
| Dec 31, 2024 | 116.37 Mn |
| Sep 30, 2024 | 53.73 Mn |
| Jun 30, 2024 | 52.73 Mn |
| Mar 31, 2024 | 28.96 Mn |
| Dec 31, 2023 | 15.25 Mn |
| Sep 30, 2023 | 18.70 Mn |
| Jun 30, 2023 | 18.99 Mn |
| Mar 31, 2023 | 12.31 Mn |
| Dec 31, 2022 | 918,000.00 |
| Sep 30, 2022 | 6.88 Mn |
| Jun 30, 2022 | 6.86 Mn |
| Mar 31, 2022 | 6.07 Mn |
| Dec 31, 2021 | 88,000.00 |
| Sep 30, 2021 | 4.17 Mn |
API Access
Harrow 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=receivables&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();