Harrow (HROW) Accounts Payables (2010 - 2026)
Harrow's Accounts Payables was $34.06 million in Q2 2026, up 34.0% from $25.41 million a year earlier and up 13.5% from the prior quarter.
Analysis
Harrow (HROW) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Harrow came in at $41.96 million, up 1.3% from FY2024.
- Accounts Payables has now increased for five consecutive years, with a five-year compound annual growth rate of 60.6% (FY2020 to FY2025).
- In earlier years, Accounts 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 (+61.2%).
- Quarterly Accounts Payables has moved between $6.34 million (Q4 2021) and $41.96 million (Q4 2025) over five years.
- Compared with a year earlier, Accounts Payables was higher in six of the last eight quarters, with growth averaging 41.4%.
- The best year-over-year quarter for Accounts Payables over five years was Q1 2025 (growth of 158.8%); the worst was Q1 2026 (a decline of 23.3%).
- Per Business Quant data, HROW's Accounts Payables in the three quarters before Q2 2026 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) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 5.79 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 9.32 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 34.43 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 5.03 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -23.57 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 2.95 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 934.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 4.07 Bn |
| 10 | Harrow | 1.03 Bn | 708.48 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 | 25.41 Mn |
| Mar 31, 2025 | 39.16 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 | 7.34 Mn |
API Access
Harrow Accounts 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=accounts-payables&ticker=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();