Upstream Bio (UPB) Total Liabilities (2023 - 2026)
Upstream Bio's Total Liabilities came in at $10.21 million for Q2 2026, down 13.3% from $11.78 million a year earlier and down 27.3% from the prior quarter.
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Analysis
Upstream Bio (UPB) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Upstream Bio's Total Liabilities was $14 million, up 18.0% from FY2024.
- Going back by year, Total Liabilities was $11.87 million in FY2024 (-95.1%) and $240.32 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2023.
- Year-over-year, Total Liabilities increased in two of the last five quarters, with an average decline of 30.8%.
- Business Quant data shows UPB's Total Liabilities at $14.06 million (Q1 2026), $14 million (Q4 2025) and $12.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Upstream Bio | 290.29 Mn | 290.29 Mn | -3.29 Mn | 10.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.21 Mn |
| Mar 31, 2026 | 14.06 Mn |
| Dec 31, 2025 | 14.00 Mn |
| Sep 30, 2025 | 12.61 Mn |
| Jun 30, 2025 | 11.78 Mn |
| Mar 31, 2025 | 10.56 Mn |
| Dec 31, 2024 | 11.87 Mn |
| Sep 30, 2024 | 393.01 Mn |
| Dec 31, 2023 | 240.32 Mn |
API Access
Upstream Bio Total Liabilities 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=total-liabilities&ticker=UPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "UPB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();