Zentalis Pharmaceuticals (ZNTL) Total Current Liabilities (2019 - 2026)
Zentalis Pharmaceuticals' Total Current Liabilities came in at $37.63 million for Q2 2026, down 3.6% from $39.02 million a year earlier but up 6.8% from the prior quarter.
Zentalis Pharmaceuticals (ZNTL) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Zentalis Pharmaceuticals' Total Current Liabilities was $36.56 million, down 30.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $52.73 million in FY2024 (-24.0%), $69.37 million in FY2023 (+22.5%), $56.65 million in FY2022 (+28.9%) and $43.94 million in FY2021 (+53.6%).
- The five-year range for quarterly Total Current Liabilities is $35.24 million (Q1 2026) to $69.37 million (Q4 2023).
- Year-over-year, Total Current Liabilities has declined for eight consecutive quarters, with an average decline of 22.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 64.9%), and the weakest in Q2 2025 (a decline of 41.5%).
- Business Quant data shows ZNTL's Total Current Liabilities at $35.24 million (Q1 2026), $36.56 million (Q4 2025) and $37.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,209.53 Bn | 1,178.12 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 625.18 Bn | 543.70 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.63 Bn | 483.79 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 365.88 Bn | 320.31 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 293.11 Bn | 257.51 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.69 Bn | 235.45 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.29 Bn | 192.69 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.23 Bn | 168.34 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.73 Bn | 118.68 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Zentalis Pharmaceuticals | 171.29 Mn | -739.26 Mn | - | 37.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.63 Mn |
| Mar 31, 2026 | 35.24 Mn |
| Dec 31, 2025 | 36.56 Mn |
| Sep 30, 2025 | 37.17 Mn |
| Jun 30, 2025 | 39.02 Mn |
| Mar 31, 2025 | 49.43 Mn |
| Dec 31, 2024 | 52.73 Mn |
| Sep 30, 2024 | 54.88 Mn |
| Jun 30, 2024 | 66.69 Mn |
| Mar 31, 2024 | 54.80 Mn |
| Dec 31, 2023 | 69.37 Mn |
| Sep 30, 2023 | 58.92 Mn |
| Jun 30, 2023 | 51.76 Mn |
| Mar 31, 2023 | 56.36 Mn |
| Dec 31, 2022 | 56.65 Mn |
| Sep 30, 2022 | 54.06 Mn |
| Jun 30, 2022 | 48.64 Mn |
| Mar 31, 2022 | 43.49 Mn |
| Dec 31, 2021 | 43.94 Mn |
| Sep 30, 2021 | 39.42 Mn |
Zentalis Pharmaceuticals 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=ZNTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ZNTL", "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=ZNTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();