Serina Therapeutics (SER) EBIT (2018 - 2026)
Serina Therapeutics (SER) recorded EBIT of -$6.78 million in Q2 2026, compared with -$5.57 million a year earlier.
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Analysis
Serina Therapeutics (SER) EBIT (2018 - 2026) Analysis & Trends
On a TTM basis, Serina Therapeutics' EBIT came in at -$24.95 million as of Jun 30, 2026; for FY2025, it was -$24.02 million.
- Across earlier years, EBIT came in at -$17.05 million in FY2024, -$3.13 million in FY2023, -$6.98 million in FY2022 and -$7.93 million in FY2021.
- The Q2 2026 figure is the lowest quarterly EBIT in data going back to Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 4.27 Bn |
| 10 | Serina Therapeutics | 29.17 Mn | -11.58 Mn | - | -6.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.78 Mn |
| Dec 31, 2025 | -6.21 Mn |
| Sep 30, 2025 | -6.39 Mn |
| Jun 30, 2025 | -5.57 Mn |
| Mar 31, 2025 | -5.86 Mn |
| Dec 31, 2024 | -5.55 Mn |
| Sep 30, 2024 | -5.31 Mn |
| Jun 30, 2024 | -3.87 Mn |
| Mar 31, 2024 | -2.32 Mn |
| Dec 31, 2023 | 241,000.00 |
| Sep 30, 2023 | -1.46 Mn |
| Jun 30, 2023 | -945,000.00 |
| Mar 31, 2023 | -962,000.00 |
| Dec 31, 2022 | -1.78 Mn |
| Sep 30, 2022 | -1.55 Mn |
| Jun 30, 2022 | -1.59 Mn |
| Mar 31, 2022 | -2.05 Mn |
| Dec 31, 2021 | -1.87 Mn |
| Sep 30, 2021 | -1.67 Mn |
| Jun 30, 2021 | -2.21 Mn |
API Access
Serina Therapeutics EBIT 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=ebit&ticker=SER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();