Cartesian Therapeutics (RNAC) Total Non-Current Liabilities (2015 - 2026)
Cartesian Therapeutics' Total Non-Current Liabilities came in at $443.69 million for Q2 2026, up 13.8% from $390.06 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Cartesian Therapeutics (RNAC) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Cartesian Therapeutics' Total Non-Current Liabilities was $422.51 million, down 3.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $437.99 million in FY2024 (-40.7%), $738.84 million in FY2023, $52.92 million in FY2022 (-52.7%) and $111.94 million in FY2021 (-27.7%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last seven quarters, with an average decline of 7.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2024 (growth of 669.4%), and the weakest in Q3 2022 (a decline of 58.9%).
- Business Quant data shows RNAC's Total Non-Current Liabilities at $436.46 million (Q1 2026), $422.51 million (Q4 2025) and $407.67 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 | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Cartesian Therapeutics | 188.59 Mn | -346.18 Mn | - | 443.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 443.69 Mn |
| Mar 31, 2026 | 436.46 Mn |
| Dec 31, 2025 | 422.51 Mn |
| Sep 30, 2025 | 407.67 Mn |
| Jun 30, 2025 | 390.06 Mn |
| Mar 31, 2025 | 428.90 Mn |
| Dec 31, 2024 | 437.99 Mn |
| Sep 30, 2024 | 450.97 Mn |
| Jun 30, 2024 | 439.94 Mn |
| Mar 31, 2024 | 436.66 Mn |
| Dec 31, 2023 | 738.84 Mn |
| Sep 30, 2023 | 32.61 Mn |
| Jun 30, 2023 | 57.18 Mn |
| Mar 31, 2023 | 57.90 Mn |
| Dec 31, 2022 | 52.92 Mn |
| Sep 30, 2022 | 59.89 Mn |
| Jun 30, 2022 | 71.53 Mn |
| Mar 31, 2022 | 83.02 Mn |
| Dec 31, 2021 | 111.94 Mn |
| Sep 30, 2021 | 145.85 Mn |
API Access
Cartesian 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=RNAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RNAC", "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=RNAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();