TScan Therapeutics (TCRX) Total Liabilities (2020 - 2026)
TScan Therapeutics (TCRX) reported Total Liabilities of $102.43 million for Q2 2026, down 15.9% from $121.85 million a year earlier and down 2.5% from the prior quarter.
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Analysis
TScan Therapeutics (TCRX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, TScan Therapeutics posted Total Liabilities of $105.67 million, down 18.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $130.15 million in FY2024 (+7.3%), $121.28 million in FY2023 (+21.7%), $99.66 million in FY2022 (+264.7%) and $27.33 million in FY2021 (-70.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2023.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 4.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2023 (growth of 508.4%); the low point was Q2 2022 (a decline of 89.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $105.07 million (Q1 2026), $105.67 million (Q4 2025) and $118.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | TScan Therapeutics | 40.28 Mn | 40.28 Mn | - | 102.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.43 Mn |
| Mar 31, 2026 | 105.07 Mn |
| Dec 31, 2025 | 105.67 Mn |
| Sep 30, 2025 | 118.20 Mn |
| Jun 30, 2025 | 121.85 Mn |
| Mar 31, 2025 | 122.51 Mn |
| Dec 31, 2024 | 130.15 Mn |
| Sep 30, 2024 | 118.94 Mn |
| Jun 30, 2024 | 119.65 Mn |
| Mar 31, 2024 | 117.87 Mn |
| Dec 31, 2023 | 121.28 Mn |
| Sep 30, 2023 | 122.42 Mn |
| Jun 30, 2023 | 126.32 Mn |
| Mar 31, 2023 | 95.56 Mn |
| Dec 31, 2022 | 99.66 Mn |
| Sep 30, 2022 | 48.80 Mn |
| Jun 30, 2022 | 20.76 Mn |
| Mar 31, 2022 | 22.51 Mn |
| Dec 31, 2021 | 27.33 Mn |
| Sep 30, 2021 | 30.82 Mn |
API Access
TScan Therapeutics Total 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-liabilities&ticker=TCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();