Context Therapeutics (CNTX) Total Current Liabilities (2020 - 2026)
Context Therapeutics (CNTX) recorded Total Current Liabilities of $7.88 million in Q2 2026, up 73.1% from $4.56 million a year earlier and up 20.7% from the prior quarter.
Context Therapeutics (CNTX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Context Therapeutics reported Total Current Liabilities of $8.02 million, up 191.8% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.75 million in FY2024 (-34.4%), $4.19 million in FY2023 (+30.7%), $3.21 million in FY2022 (+5.7%) and $3.03 million in FY2021 (-68.2%).
- Quarterly Total Current Liabilities has ranged from $1.6 million in Q2 2024 to $8.02 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 92.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 243.9% in Q1 2026, against a decline of 68.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.53 million (Q1 2026), $8.02 million (Q4 2025) and $6.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.80 Bn | 1,100.39 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 614.01 Bn | 532.53 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.59 Bn | 476.70 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.81 Bn | 261.80 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.50 Bn | 235.19 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.24 Bn | 191.64 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.15 Bn | 165.35 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.16 Bn | 116.81 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Context Therapeutics | 22.15 Mn | -218.31 Mn | - | 7.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.88 Mn |
| Mar 31, 2026 | 6.53 Mn |
| Dec 31, 2025 | 8.02 Mn |
| Sep 30, 2025 | 6.04 Mn |
| Jun 30, 2025 | 4.56 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 2.75 Mn |
| Sep 30, 2024 | 2.33 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 2.61 Mn |
| Dec 31, 2023 | 4.19 Mn |
| Sep 30, 2023 | 4.60 Mn |
| Jun 30, 2023 | 3.76 Mn |
| Mar 31, 2023 | 3.23 Mn |
| Dec 31, 2022 | 3.21 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 3.04 Mn |
| Mar 31, 2022 | 1.61 Mn |
| Dec 31, 2021 | 3.03 Mn |
| Sep 30, 2021 | 4.41 Mn |
Context 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=CNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "CNTX", "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=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();