Serina Therapeutics (SER) Debt Ratio (2020 - 2025)
Serina Therapeutics' Debt Ratio came in at 0.23 for Q3 2025, down 84.5% from 1.50 a year earlier.
Analysis
Serina Therapeutics (SER) Debt Ratio (2020 - 2025) Analysis & Trends
For FY2022, Serina Therapeutics' Debt Ratio was 5.59, up 33.6% from FY2021.
- Going back by year, Debt Ratio was 4.19 in FY2021 and 0.11 in FY2020.
- The Q3 2025 figure represents the lowest quarterly Debt Ratio since Q3 2023.
- Year-over-year, Debt Ratio increased in 1 of the last four quarters, with growth averaging 130.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Serina Therapeutics | 32.93 Mn | -7.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 0.23 |
| Sep 30, 2024 | 1.50 |
| Jun 30, 2024 | 1.04 |
| Mar 31, 2024 | 0.96 |
| Sep 30, 2023 | 0.18 |
| Jun 30, 2023 | 2.69 |
| Mar 31, 2023 | 2.40 |
| Dec 31, 2022 | 5.59 |
| Sep 30, 2022 | 7.79 |
| Dec 31, 2021 | 4.19 |
| Dec 31, 2020 | 0.11 |
| Sep 30, 2020 | 1.17 |
API Access
Serina Therapeutics Debt Ratio 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=debt-ratio&ticker=SER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "SER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();