TScan Therapeutics (TCRX) Total Current Liabilities (2020 - 2026)
TScan Therapeutics (TCRX) recorded Total Current Liabilities of $30.96 million in Q2 2026, down 1.1% from $31.32 million a year earlier but up 55.1% from the prior quarter.
TScan Therapeutics (TCRX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, TScan Therapeutics reported Total Current Liabilities of $18.7 million, down 48.0% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $35.96 million in FY2024 (+20.6%), $29.82 million in FY2023 (+72.3%), $17.31 million in FY2022 (-18.9%) and $21.34 million in FY2021 (+22.3%).
- Quarterly Total Current Liabilities has ranged from $14.05 million in Q1 2023 to $38.57 million in Q2 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 12.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 124.1% in Q1 2024, against a decline of 48.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.97 million (Q1 2026), $18.7 million (Q4 2025) and $29.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | TScan Therapeutics | 40.28 Mn | 40.28 Mn | - | 30.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.96 Mn |
| Mar 31, 2026 | 19.97 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 29.21 Mn |
| Jun 30, 2025 | 31.32 Mn |
| Mar 31, 2025 | 29.82 Mn |
| Dec 31, 2024 | 35.96 Mn |
| Sep 30, 2024 | 28.66 Mn |
| Jun 30, 2024 | 38.57 Mn |
| Mar 31, 2024 | 31.48 Mn |
| Dec 31, 2023 | 29.82 Mn |
| Sep 30, 2023 | 33.15 Mn |
| Jun 30, 2023 | 35.12 Mn |
| Mar 31, 2023 | 14.05 Mn |
| Dec 31, 2022 | 17.31 Mn |
| Sep 30, 2022 | 16.59 Mn |
| Jun 30, 2022 | 17.17 Mn |
| Mar 31, 2022 | 18.47 Mn |
| Dec 31, 2021 | 21.34 Mn |
| Sep 30, 2021 | 22.94 Mn |
TScan Therapeutics Total 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-current-liabilities&ticker=TCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=TCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();