Upstream Bio (UPB) Change in Cash (2023 - 2026)
Upstream Bio (UPB) recorded Change in Cash of -$17.33 million in Q2 2026, compared with -$25.85 million a year earlier.
Upstream Bio (UPB) Change in Cash (2023 - 2026) Analysis & Trends
On a TTM basis, Upstream Bio's Change in Cash came in at $33.94 million as of Jun 30, 2026; for FY2025, it was -$224.31 million.
- Across earlier years, Change in Cash came in at $300.25 million in FY2024 and $8.78 million in FY2023.
- Quarterly Change in Cash has ranged from -$254.58 million in Q1 2025 to $292.94 million in Q4 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$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) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | -4.07 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -3.51 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.21 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.76 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.04 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -799.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 3.26 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 845.00 Mn |
| 10 | Upstream Bio | 185.26 Mn | -919.50 Mn | - | -31.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -31.98 Mn |
| 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 Change in Cash 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=change-in-cash&ticker=UPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();