Serina Therapeutics (SER) EBITDA (2018 - 2026)
Serina Therapeutics (SER) posted EBITDA of -$6.77 million for Q2 2026, compared with -$5.55 million a year earlier.
Serina Therapeutics (SER) EBITDA (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Serina Therapeutics was -$24.87 million; for FY2025, it came in at -$23.95 million.
- In prior years, Serina Therapeutics' EBITDA was -$16.85 million in FY2024 and -$2.91 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly EBITDA in data going back to Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Serina Therapeutics | 29.17 Mn | -11.58 Mn | - | -6.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.77 Mn |
| Dec 31, 2025 | -6.13 Mn |
| Sep 30, 2025 | -6.38 Mn |
| Jun 30, 2025 | -5.55 Mn |
| Mar 31, 2025 | -5.84 Mn |
| Dec 31, 2024 | -5.49 Mn |
| Sep 30, 2024 | -5.25 Mn |
| Jun 30, 2024 | -3.50 Mn |
| Mar 31, 2024 | -2.27 Mn |
| Dec 31, 2023 | 280,000.00 |
| Sep 30, 2023 | -3.35 Mn |
| Jun 30, 2023 | 23,000.00 |
| Mar 31, 2023 | 141,000.00 |
| Mar 31, 2021 | -1.66 Mn |
| Dec 31, 2020 | -2.39 Mn |
| Sep 30, 2020 | -1.88 Mn |
| Jun 30, 2020 | -2.02 Mn |
| Mar 31, 2020 | -2.63 Mn |
| Dec 31, 2019 | -2.39 Mn |
| Sep 30, 2019 | -3.02 Mn |
Serina Therapeutics 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=SER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();