Septerna (SEPN) Payables (2023 - 2026)
Septerna (SEPN) reported Payables of $3.97 million for Q2 2026, down 39.3% from $6.54 million a year earlier and down 46.8% from the prior quarter.
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Analysis
Septerna (SEPN) Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Septerna posted Payables of $10.28 million, up 221.3% from FY2024.
- By year, Payables came in at $3.2 million in FY2024 (+21.4%) and $2.64 million in FY2023.
- Five-year quarterly Payables spans a low of $2.64 million in Q4 2023 and a high of $10.28 million in Q4 2025.
- Year over year, Payables gained in three of the last five quarters, with growth averaging 47.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.46 million (Q1 2026), $10.28 million (Q4 2025) and $3.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Septerna | 1.81 Bn | 1.81 Bn | - | 3.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Mn |
| Mar 31, 2026 | 7.46 Mn |
| Dec 31, 2025 | 10.28 Mn |
| Sep 30, 2025 | 3.73 Mn |
| Jun 30, 2025 | 6.54 Mn |
| Mar 31, 2025 | 4.35 Mn |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | 6.13 Mn |
| Dec 31, 2023 | 2.64 Mn |
API Access
Septerna Payables 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=payables&ticker=SEPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=SEPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();