Serina Therapeutics (SER) Return on Capital Employed [ROCE] (2019 - 2026)
Serina Therapeutics' Return on Capital Employed [ROCE] came in at -197.68% for Q2 2026, up 323.58 percentage points from -521.26% a year earlier.
Powered by 
Analysis
Serina Therapeutics (SER) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Serina Therapeutics' Return on Capital Employed [ROCE] was -733.61%, down 422.51 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +2359.81 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -311.09% in FY2024 (-244.40 pp) and -66.70% in FY2023.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Serina Therapeutics | 32.61 Mn | -8.13 Mn | - | -197.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -197.68% |
| Dec 31, 2025 | -392.58% |
| Sep 30, 2025 | -1,237.50% |
| Jun 30, 2025 | -521.26% |
| Mar 31, 2025 | -470.46% |
| Dec 31, 2024 | -361.68% |
| Dec 31, 2023 | -34.10% |
| Sep 30, 2023 | -56.99% |
| Jun 30, 2020 | -5,376.36% |
| Mar 31, 2020 | -1,555.63% |
| Dec 31, 2019 | -278.13% |
| Sep 30, 2019 | -209.11% |
API Access
Serina Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();