Upstream Bio (UPB) Net Cash Flow (2023 - 2026)
Upstream Bio (UPB) posted Net Cash Flow of -$17.33 million for Q2 2026, compared with -$25.85 million a year earlier.
Upstream Bio (UPB) Net Cash Flow (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Cash Flow at Upstream Bio was $33.94 million; for FY2025, it came in at -$224.31 million.
- In prior years, Upstream Bio's Net Cash Flow was $300.25 million in FY2024 and $8.78 million in FY2023.
- Quarterly Net Cash Flow has run from a low of -$254.58 million in Q1 2025 to a high of $292.94 million in Q4 2024 over five years.
- According to Business Quant data, Net Cash Flow for the three prior quarters was -$4.85 million (Q1 2026), $29.41 million (Q4 2025) and $26.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 3.72 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | -1.27 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | -2.82 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 1.53 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 757.00 Mn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | -3.94 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 1.95 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | -4.43 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | -722.00 Mn |
| 10 | Upstream Bio | 156.06 Mn | -1.11 Bn | -3.29 Mn | -17.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.33 Mn |
| Mar 31, 2026 | -4.85 Mn |
| Dec 31, 2025 | 29.41 Mn |
| Sep 30, 2025 | 26.71 Mn |
| Jun 30, 2025 | -25.85 Mn |
| Mar 31, 2025 | -254.58 Mn |
| Dec 31, 2024 | 292.94 Mn |
| Sep 30, 2024 | -14.19 Mn |
| Jun 30, 2024 | 15.83 Mn |
| Mar 31, 2024 | 5.68 Mn |
| Dec 31, 2023 | -21.49 Mn |
Upstream Bio Net Cash Flow 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-cash-flow&ticker=UPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();