Septerna (SEPN) Accumulated Depreciation (2023 - 2026)
Septerna (SEPN) reported Accumulated Depreciation of $5.2 million for Q2 2026, up 39.9% from $3.72 million a year earlier and up 8.9% from the prior quarter.
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Analysis
Septerna (SEPN) Accumulated Depreciation (2023 - 2026) Analysis & Trends
At the end of FY2025, Septerna posted Accumulated Depreciation of $4.35 million, up 48.6% from FY2024.
- By year, Accumulated Depreciation came in at $2.93 million in FY2024 (+80.6%) and $1.62 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Accumulated Depreciation in data going back to Q4 2023.
- Year over year, Accumulated Depreciation has now increased in each of the last four quarters, with growth averaging 54.5% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.77 million (Q1 2026), $4.35 million (Q4 2025) and $4.06 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 | Septerna | 1.79 Bn | 1.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.20 Mn |
| Mar 31, 2026 | 4.77 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 4.06 Mn |
| Jun 30, 2025 | 3.72 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Dec 31, 2023 | 1.62 Mn |
API Access
Septerna Accumulated Depreciation 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-depreciation&ticker=SEPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=SEPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();