Sana Biotechnology (SANA) Total Non-Current Liabilities (2020 - 2026)
Sana Biotechnology's Total Non-Current Liabilities came in at $177.35 million for Q2 2026, up 45.4% from $121.96 million a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Sana Biotechnology (SANA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Sana Biotechnology's Total Non-Current Liabilities was $172.49 million, up 21.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -30.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $141.55 million in FY2024 (-15.8%), $168.19 million in FY2023 (-26.4%), $228.37 million in FY2022 (-23.5%) and $298.54 million in FY2021 (-71.0%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2024.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 45.4%), and the weakest in Q4 2021 (a decline of 71.0%).
- Business Quant data shows SANA's Total Non-Current Liabilities at $171.15 million (Q1 2026), $172.49 million (Q4 2025) and $124.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Sana Biotechnology | 694.82 Mn | 141.76 Mn | - | 107.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.86 Mn |
| Mar 31, 2026 | 80.44 Mn |
| Dec 31, 2025 | 161.89 Mn |
| Sep 30, 2025 | 53.21 Mn |
| Jun 30, 2025 | 47.82 Mn |
| Mar 31, 2025 | 56.52 Mn |
| Dec 31, 2024 | 131.65 Mn |
| Sep 30, 2024 | 87.00 Mn |
| Jun 30, 2024 | 99.70 Mn |
| Mar 31, 2024 | 127.55 Mn |
| Dec 31, 2023 | 168.19 Mn |
| Sep 30, 2023 | 110.53 Mn |
| Jun 30, 2023 | 138.30 Mn |
| Mar 31, 2023 | 115.45 Mn |
| Dec 31, 2022 | 228.37 Mn |
| Sep 30, 2022 | 250.38 Mn |
| Jun 30, 2022 | 233.59 Mn |
| Mar 31, 2022 | 243.64 Mn |
| Dec 31, 2021 | 298.54 Mn |
| Sep 30, 2021 | 232.91 Mn |
API Access
Sana Biotechnology 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=SANA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SANA", "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=SANA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();