Upstream Bio (UPB) Net Income (2023 - 2026)
Upstream Bio's Net Income came in at -$39.71 million for Q2 2026, compared with -$39.92 million a year earlier.
Upstream Bio (UPB) Net Income (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Upstream Bio reported Net Income of -$156.51 million; for FY2025, it was -$143.43 million.
- Going back by year, Net Income was -$65.64 million in FY2024 and -$35.95 million in FY2023.
- The five-year range for quarterly Net Income is -$42.51 million (Q4 2025) to -$7.86 million (Q3 2023).
- Business Quant data shows UPB's Net Income at -$40.56 million (Q1 2026), -$42.51 million (Q4 2025) and -$33.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 5.53 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | -248.00 Mn |
| 10 | Upstream Bio | 156.06 Mn | -1.11 Bn | -3.29 Mn | -39.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.70 Mn |
| Mar 31, 2026 | -40.59 Mn |
| Dec 31, 2025 | -42.46 Mn |
| Sep 30, 2025 | -33.75 Mn |
| Jun 30, 2025 | -39.97 Mn |
| Mar 31, 2025 | -27.27 Mn |
| Dec 31, 2024 | -21.24 Mn |
| Sep 30, 2024 | -15.99 Mn |
| Jun 30, 2024 | -14.68 Mn |
| Mar 31, 2024 | -10.89 Mn |
| Dec 31, 2023 | -11.83 Mn |
| Sep 30, 2023 | -7.86 Mn |
Upstream Bio Net Income 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=net-income&ticker=UPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();