Zenas BioPharma (ZBIO) Accumulated Expenses (2023 - 2026)
Zenas BioPharma (ZBIO) recorded Accumulated Expenses of $57.41 million in Q2 2026, up 28.9% from $44.52 million a year earlier and up 12.2% from the prior quarter.
Zenas BioPharma (ZBIO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Zenas BioPharma reported Accumulated Expenses of $54.42 million, up 38.2% from FY2024.
- Across earlier years, Accumulated Expenses came in at $39.37 million in FY2024 (+127.5%) and $17.31 million in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 67.0% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $51.18 million (Q1 2026), $54.42 million (Q4 2025) and $45.36 million (Q3 2025).
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 | Zenas BioPharma | 1.71 Bn | 1.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.41 Mn |
| Mar 31, 2026 | 51.18 Mn |
| Dec 31, 2025 | 54.42 Mn |
| Sep 30, 2025 | 45.36 Mn |
| Jun 30, 2025 | 44.52 Mn |
| Mar 31, 2025 | 28.21 Mn |
| Dec 31, 2024 | 39.37 Mn |
| Sep 30, 2024 | 28.53 Mn |
| Dec 31, 2023 | 17.31 Mn |
Zenas BioPharma 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=ZBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ZBIO", "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=ZBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();