Serina Therapeutics (SER) Return on Sales [ROS] (2018 - 2026)
Serina Therapeutics (SER) recorded Return on Sales [ROS] of -19190.77% in Q2 2026, down 14910.00 percentage points from -4280.77% a year earlier.
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Analysis
Serina Therapeutics (SER) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For FY2025, Serina Therapeutics reported Return on Sales [ROS] of -18478.46%, up 11964.40 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -15680.68 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -30442.86% in FY2024 (-30343.62 pp), -99.24% in FY2023 (+20415.47 pp), -20514.71% in FY2022 (-15005.68 pp) and -5509.03% in FY2021 (-2711.24 pp).
- Quarterly Return on Sales [ROS] has ranged from -46420.00% in Q1 2024 to 7.81% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last seven quarters, with an average year-over-year change of -5590.85 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 37833.33 percentage points in Q1 2023, against a drop of 43213.33 percentage points in Q1 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Serina Therapeutics | 32.61 Mn | -8.13 Mn | - | -19,190.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19,190.77% |
| Dec 31, 2025 | -18,478.46% |
| Sep 30, 2025 | -20,141.38% |
| Jun 30, 2025 | -4,280.77% |
| Mar 31, 2025 | -40,362.75% |
| Dec 31, 2024 | -30,442.86% |
| Sep 30, 2024 | -37,942.86% |
| Jun 30, 2024 | -7,580.39% |
| Mar 31, 2024 | -46,420.00% |
| Dec 31, 2023 | 7.81% |
| Sep 30, 2023 | -5,044.83% |
| Jun 30, 2023 | -13,500.00% |
| Mar 31, 2023 | -3,206.67% |
| Dec 31, 2022 | -22,275.00% |
| Sep 30, 2022 | -17,222.22% |
| Jun 30, 2022 | -13,258.33% |
| Mar 31, 2022 | -41,040.00% |
| Dec 31, 2021 | -6,914.81% |
| Sep 30, 2021 | -6,975.00% |
| Jun 30, 2021 | -5,959.46% |
API Access
Serina Therapeutics Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();