Upstream Bio (UPB) Accumulated Expenses (2023 - 2026)
Upstream Bio (UPB) recorded Accumulated Expenses of $6.95 million in Q2 2026, down 9.4% from $7.67 million a year earlier and down 38.2% from the prior quarter.
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Analysis
Upstream Bio (UPB) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Upstream Bio reported Accumulated Expenses of $10.01 million, up 67.0% from FY2024.
- Across earlier years, Accumulated Expenses came in at $5.99 million in FY2024 (+33.8%) and $4.48 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses rose in four of the last five quarters, with growth averaging 59.9%.
- Per Business Quant, the preceding three quarters came in at $11.24 million (Q1 2026), $10.01 million (Q4 2025) and $7.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Upstream Bio | 288.64 Mn | 288.64 Mn | -3.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 11.24 Mn |
| Dec 31, 2025 | 10.01 Mn |
| Sep 30, 2025 | 7.24 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 4.14 Mn |
| Dec 31, 2024 | 5.99 Mn |
| Sep 30, 2024 | 5.30 Mn |
| Dec 31, 2023 | 4.48 Mn |
API Access
Upstream Bio Accumulated Expenses 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=accumulated-expenses&ticker=UPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();