Abpro Holdings (ABPO) Debt Ratio (2021 - 2026)
Abpro Holdings' (ABPO) Debt Ratio came in at 0.03 for Q2 2026, down 33.2% from 0.05 a year earlier and down 23.8% from the prior quarter.
Analysis
Abpro Holdings (ABPO) Debt Ratio (2021 - 2026) Analysis & Trends
For FY2025, Abpro Holdings' Debt Ratio stood at 0.14, up 76.1% from FY2024.
- In prior years, Abpro Holdings' Debt Ratio was 0.08 in FY2024 (-84.9%), 0.52 in FY2023 and 0.28 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Debt Ratio since Q3 2024.
- On a year-over-year basis, Debt Ratio increased in three of the last six quarters, with growth averaging 54.5%.
- According to Business Quant data, Debt Ratio for the three prior quarters was 0.04 (Q1 2026), 0.14 (Q4 2025) and 0.09 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Abpro Holdings | 2.06 Mn | 2.61 Mn | - | 0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.03 |
| Mar 31, 2026 | 0.04 |
| Dec 31, 2025 | 0.14 |
| Sep 30, 2025 | 0.09 |
| Jun 30, 2025 | 0.05 |
| Mar 31, 2025 | 1.00 |
| Dec 31, 2024 | 0.08 |
| Sep 30, 2024 | 0.02 |
| Jun 30, 2024 | 0.02 |
| Mar 31, 2024 | 0.02 |
| Dec 31, 2023 | 0.52 |
| Dec 31, 2021 | 0.28 |
API Access
Abpro Holdings Debt Ratio 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=debt-ratio&ticker=ABPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ABPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();