Abpro Holdings (ABPO) Accounts Payables (2023 - 2026)
Abpro Holdings (ABPO) reported Accounts Payables of $4.16 million for Q2 2026, down 21.0% from $5.27 million a year earlier and down 16.0% from the prior quarter.
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Analysis
Abpro Holdings (ABPO) Accounts Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Abpro Holdings posted Accounts Payables of $5.32 million, up 35.2% from FY2024.
- By year, Accounts Payables came in at $3.94 million in FY2024 (-50.3%) and $7.92 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Accounts Payables since Q4 2024.
- Year over year, Accounts Payables gained in five of the last seven quarters, with growth averaging 90.5%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.95 million (Q1 2026), $5.32 million (Q4 2025) and $4.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Abpro Holdings | 2.06 Mn | 2.61 Mn | - | 4.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.16 Mn |
| Mar 31, 2026 | 4.95 Mn |
| Dec 31, 2025 | 5.32 Mn |
| Sep 30, 2025 | 4.72 Mn |
| Jun 30, 2025 | 5.27 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | 3.94 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.52 Mn |
| Mar 31, 2024 | 1.36 Mn |
| Dec 31, 2023 | 7.92 Mn |
API Access
Abpro Holdings 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=ABPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "ABPO", "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=ABPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();