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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 3.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.51 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -237.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.10 Bn |
| 10 | Upstream Bio | 288.64 Mn | 288.64 Mn | -3.29 Mn | -39.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.71 Mn |
| Mar 31, 2026 | -40.56 Mn |
| Dec 31, 2025 | -42.51 Mn |
| Sep 30, 2025 | -33.73 Mn |
| Jun 30, 2025 | -39.92 Mn |
| Mar 31, 2025 | -27.27 Mn |
| Dec 31, 2024 | -21.24 Mn |
| Sep 30, 2024 | -15.99 Mn |
| Jun 30, 2024 | -14.66 Mn |
| Mar 31, 2024 | -13.75 Mn |
| Dec 31, 2023 | -12.81 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();