Septerna (SEPN) EBITDA (2023 - 2026)
Septerna (SEPN) posted EBITDA of -$16.41 million for Q2 2026, compared with -$28.57 million a year earlier.
Analysis
Septerna (SEPN) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Septerna was -$41.9 million; for FY2025, it came in at -$66.69 million.
- In prior years, Septerna's EBITDA was -$79.42 million in FY2024 and $2.92 million in FY2023.
- Quarterly EBITDA has run from a low of -$28.57 million in Q2 2025 to a high of $34.56 million in Q4 2023 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$12.88 million (Q1 2026), -$15.62 million (Q4 2025) and $3.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Septerna | 1.81 Bn | 1.81 Bn | - | -16.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.41 Mn |
| Mar 31, 2026 | -12.88 Mn |
| Dec 31, 2025 | -15.62 Mn |
| Sep 30, 2025 | 3.02 Mn |
| Jun 30, 2025 | -28.57 Mn |
| Mar 31, 2025 | -25.51 Mn |
| Dec 31, 2024 | -24.33 Mn |
| Sep 30, 2024 | -22.19 Mn |
| Jun 30, 2024 | -17.73 Mn |
| Mar 31, 2024 | -15.17 Mn |
| Dec 31, 2023 | 34.56 Mn |
API Access
Septerna EBITDA 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=ebitda&ticker=SEPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SEPN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SEPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();