Cartesian Therapeutics (RNAC) Cash & Equivalents (2015 - 2026)
Cartesian Therapeutics' Cash & Equivalents was $147.61 million in Q2 2026, down 7.9% from $160.32 million a year earlier but up 24.4% from the prior quarter.
Cartesian Therapeutics (RNAC) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Cartesian Therapeutics came in at $125.14 million, down 41.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $212.61 million in FY2024 (+176.4%), $76.91 million in FY2023 (-27.7%), $106.44 million in FY2022 (-6.7%) and $114.06 million in FY2021 (-17.8%).
- Quarterly Cash & Equivalents has moved between $76.91 million (Q4 2023) and $219.2 million (Q3 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with growth averaging 49.0% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2024 (growth of 176.4%); the worst was Q4 2025 (a decline of 41.1%).
- Per Business Quant data, RNAC's Cash & Equivalents in the three quarters before Q2 2026 was $118.64 million (Q1 2026), $125.14 million (Q4 2025) and $143.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Cartesian Therapeutics | 216.87 Mn | 216.87 Mn | - | 147.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.61 Mn |
| Mar 31, 2026 | 118.64 Mn |
| Dec 31, 2025 | 125.14 Mn |
| Sep 30, 2025 | 143.38 Mn |
| Jun 30, 2025 | 160.32 Mn |
| Mar 31, 2025 | 180.43 Mn |
| Dec 31, 2024 | 212.61 Mn |
| Sep 30, 2024 | 219.20 Mn |
| Jun 30, 2024 | 87.23 Mn |
| Mar 31, 2024 | 103.42 Mn |
| Dec 31, 2023 | 76.91 Mn |
| Sep 30, 2023 | 79.60 Mn |
| Jun 30, 2023 | 112.03 Mn |
| Mar 31, 2023 | 125.93 Mn |
| Dec 31, 2022 | 106.44 Mn |
| Sep 30, 2022 | 112.84 Mn |
| Jun 30, 2022 | 138.06 Mn |
| Mar 31, 2022 | 113.44 Mn |
| Dec 31, 2021 | 114.06 Mn |
| Sep 30, 2021 | 114.65 Mn |
Cartesian Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=RNAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RNAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();