Serina Therapeutics (SER) Total Non-Current Liabilities (2019 - 2025)
Serina Therapeutics' Total Non-Current Liabilities came in at $3.75 million for Q2 2025, down 72.6% from $13.69 million a year earlier but up 45.3% from the prior quarter.
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Analysis
Serina Therapeutics (SER) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
At the end of FY2024, Serina Therapeutics' Total Non-Current Liabilities was $2.63 million, down 93.6% from FY2023.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -4.4% (FY2019 to FY2024).
- Going back by year, Total Non-Current Liabilities was $41.26 million in FY2023 (+1.0%), $40.84 million in FY2022 (+355.4%), $8.97 million in FY2021 (+65.4%) and $5.42 million in FY2020 (+64.4%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.58 million (Q1 2025) to $48.3 million (Q1 2023).
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 63.4% over the last five quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 378.3%), and the weakest in Q4 2024 (a decline of 93.6%).
- Business Quant data shows SER's Total Non-Current Liabilities at $2.58 million (Q1 2025), $2.63 million (Q4 2024) and $14.52 million (Q3 2024) in the three quarters before Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Serina Therapeutics | 32.93 Mn | -7.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 3.75 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 2.63 Mn |
| Sep 30, 2024 | 14.52 Mn |
| Jun 30, 2024 | 13.69 Mn |
| Mar 31, 2024 | 15.17 Mn |
| Dec 31, 2023 | 41.26 Mn |
| Mar 31, 2023 | 48.30 Mn |
| Dec 31, 2022 | 40.84 Mn |
| Sep 30, 2022 | 16.50 Mn |
| Jun 30, 2022 | 9.09 Mn |
| Mar 31, 2022 | 10.10 Mn |
| Dec 31, 2021 | 8.97 Mn |
| Sep 30, 2021 | 6.60 Mn |
| Jun 30, 2021 | 5.27 Mn |
| Mar 31, 2021 | 3.93 Mn |
| Dec 31, 2020 | 5.42 Mn |
| Sep 30, 2020 | 4.85 Mn |
| Jun 30, 2020 | 5.15 Mn |
| Dec 31, 2019 | 3.30 Mn |
API Access
Serina Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();