TScan Therapeutics (TCRX) Return on Sales [ROS] (2020 - 2026)
TScan Therapeutics (TCRX) reported Return on Sales [ROS] of -2901.33% for Q2 2026, down 1644.73 percentage points from -1256.60% a year earlier but up 65.98 percentage points from the prior quarter.
TScan Therapeutics (TCRX) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TScan Therapeutics' Return on Sales [ROS] came in at -1695.15%, up 376.92 percentage points year-over-year; for FY2025, it came in at -1315.38%, up 3472.30 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +1102.41 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -4787.68% in FY2024 (-4343.68 pp), -444.00% in FY2023 (+48.32 pp), -492.32% in FY2022 (-12.68 pp) and -479.65% in FY2021 (+1938.14 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -6364.55% in Q2 2024 and a high of -296.17% in Q4 2023.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +570.84 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 5107.95 percentage points); the low point was Q2 2024 (a drop of 5582.79 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -2967.31% (Q1 2026), -929.41% (Q4 2025) and -1475.59% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | TScan Therapeutics | 41.58 Mn | 41.58 Mn | - | -2,901.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,901.33% |
| Mar 31, 2026 | -2,967.31% |
| Dec 31, 2025 | -929.41% |
| Sep 30, 2025 | -1,475.59% |
| Jun 30, 2025 | -1,256.60% |
| Mar 31, 2025 | -1,669.74% |
| Dec 31, 2024 | -5,520.60% |
| Sep 30, 2024 | -3,109.82% |
| Jun 30, 2024 | -6,364.55% |
| Mar 31, 2024 | -5,542.93% |
| Dec 31, 2023 | -296.17% |
| Sep 30, 2023 | -636.69% |
| Jun 30, 2023 | -781.77% |
| Mar 31, 2023 | -334.31% |
| Dec 31, 2022 | -602.55% |
| Sep 30, 2022 | -492.95% |
| Jun 30, 2022 | -375.89% |
| Mar 31, 2022 | -535.02% |
| Dec 31, 2021 | -497.62% |
| Sep 30, 2021 | -656.80% |
TScan 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=TCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TCRX", "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=TCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();