Harrow (HROW) Payables (2010 - 2026)
Harrow (HROW) posted Payables of $34.06 million for Q2 2026, down 83.7% from $209.03 million a year earlier but up 13.5% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Harrow's Payables came in at $41.96 million, up 1.3% from FY2024.
- Annual Payables has increased for four consecutive years, with a five-year compound annual growth rate of 39.9% (FY2020 to FY2025).
- In prior years, Harrow's Payables was $41.41 million in FY2024 (+68.4%), $24.58 million in FY2023 (+78.5%), $13.77 million in FY2022 (+117.3%) and $6.34 million in FY2021 (-19.1%).
- Quarterly Payables has run from a low of $3.79 million in Q3 2021 to a high of $209.03 million in Q2 2025 over five years.
- On a year-over-year basis, Payables increased in five of the last eight quarters, with growth averaging 212.2%.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2025, with growth of 874.8%; the weakest was Q2 2026, with a decline of 83.7%.
- According to Business Quant data, Payables for the three prior quarters was $30.02 million (Q1 2026), $41.96 million (Q4 2025) and $20.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Harrow | 1.18 Bn | 858.40 Mn | 50.36 Mn | 34.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.06 Mn |
| Mar 31, 2026 | 30.02 Mn |
| Dec 31, 2025 | 41.96 Mn |
| Sep 30, 2025 | 20.16 Mn |
| Jun 30, 2025 | 209.03 Mn |
| Mar 31, 2025 | 147.47 Mn |
| Dec 31, 2024 | 41.41 Mn |
| Sep 30, 2024 | 25.28 Mn |
| Jun 30, 2024 | 22.26 Mn |
| Mar 31, 2024 | 15.13 Mn |
| Dec 31, 2023 | 24.58 Mn |
| Sep 30, 2023 | 12.77 Mn |
| Jun 30, 2023 | 17.82 Mn |
| Mar 31, 2023 | 13.79 Mn |
| Dec 31, 2022 | 13.77 Mn |
| Sep 30, 2022 | 14.11 Mn |
| Jun 30, 2022 | 9.20 Mn |
| Mar 31, 2022 | 6.76 Mn |
| Dec 31, 2021 | 6.34 Mn |
| Sep 30, 2021 | 3.79 Mn |
API Access
Harrow Payables 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=payables&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();