Cartesian Therapeutics (RNAC) Return on Sales [ROS] (2015 - 2026)
Cartesian Therapeutics (RNAC) posted Return on Sales [ROS] of -10518.55% for Q2 2026, down 3199.42 percentage points from -7319.13% a year earlier but up 23454.53 percentage points from the prior quarter.
Cartesian Therapeutics (RNAC) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For FY2025, Cartesian Therapeutics' Return on Sales [ROS] came in at -5127.10%, down 5014.29 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4784.74 percentage points (FY2020 to FY2025).
- In prior years, Cartesian Therapeutics' Return on Sales [ROS] was -112.81% in FY2024 (+219.51 pp), -332.32% in FY2023 (-345.44 pp), 13.12% in FY2022 (+18.53 pp) and -5.40% in FY2021 (+336.95 pp).
- Quarterly Return on Sales [ROS] has run from a low of -33973.08% in Q1 2026 to a high of 41.13% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last six quarters, with an average year-over-year change of -7078.73 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 396.21 percentage points; the weakest was Q1 2026, with a drop of 31983.17 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -33973.08% (Q1 2026), -8304.01% (Q4 2025) and -4660.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Cartesian Therapeutics | 210.06 Mn | -304.30 Mn | - | -19,192.64% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -19,192.64% |
| Jun 30, 2026 | -11,899.88% |
| Mar 31, 2026 | -33,973.08% |
| Sep 30, 2025 | -4,660.62% |
| Jun 30, 2025 | -7,319.13% |
| Mar 31, 2025 | -1,989.91% |
| Dec 31, 2024 | -112.81% |
| Sep 30, 2024 | -4,541.34% |
| Jun 30, 2024 | 41.13% |
| Mar 31, 2024 | -228.56% |
| Dec 31, 2023 | -439.54% |
| Sep 30, 2023 | -199.44% |
| Jun 30, 2023 | -355.08% |
| Mar 31, 2023 | -309.55% |
| Dec 31, 2022 | -50.59% |
| Sep 30, 2022 | -7.72% |
| Jun 30, 2022 | 35.29% |
| Mar 31, 2022 | 31.69% |
| Dec 31, 2021 | 13.62% |
| Sep 30, 2021 | -8.06% |
Cartesian 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=RNAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RNAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();