Serina Therapeutics (SER) Times Interest Earned (2021 - 2026)
Serina Therapeutics' Times Interest Earned was -33.42 in Q2 2026, compared with -618.33 a year earlier.
Serina Therapeutics (SER) Times Interest Earned (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Serina Therapeutics' Times Interest Earned was -59.97 through Jun 30, 2026; for FY2025, it came in at -112.78.
- In earlier years, Times Interest Earned was -32.41 in FY2024, -5.61 in FY2023, -2.09 in FY2022 and -7.23 in FY2021.
- Quarterly Times Interest Earned has moved between -1065.33 (Q3 2025) and 1.37 (Q4 2023) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | - |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 10.28 |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 7.27 |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 5.22 |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -42.08 |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Serina Therapeutics | 29.17 Mn | -11.58 Mn | - | -33.42 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.42 |
| Dec 31, 2025 | -31.35 |
| Sep 30, 2025 | -1,065.33 |
| Jun 30, 2025 | -618.33 |
| Dec 31, 2024 | -326.41 |
| Sep 30, 2024 | -332.00 |
| Jun 30, 2024 | -12.59 |
| Mar 31, 2024 | -12.48 |
| Dec 31, 2023 | 1.37 |
| Sep 30, 2023 | -14.63 |
| Jun 30, 2023 | -8.75 |
| Mar 31, 2023 | -11.19 |
| Dec 31, 2022 | -1.82 |
| Sep 30, 2022 | -1.68 |
| Jun 30, 2022 | -1.84 |
| Mar 31, 2022 | -3.59 |
| Dec 31, 2021 | -6.33 |
| Sep 30, 2021 | -5.87 |
Serina Therapeutics Times Interest Earned 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=times-interest-earned&ticker=SER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();