Zentalis Pharmaceuticals (ZNTL) Total Non-Current Liabilities (2019 - 2026)
Zentalis Pharmaceuticals' Total Non-Current Liabilities was $71.18 million in Q2 2026, down 7.2% from $76.71 million a year earlier but up 1.9% from the prior quarter.
Zentalis Pharmaceuticals (ZNTL) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Zentalis Pharmaceuticals came in at $72.26 million, down 21.7% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $92.3 million in FY2024 (-18.0%), $112.52 million in FY2023 (+9.6%), $102.67 million in FY2022 (+14.0%) and $90.03 million in FY2021 (+189.6%).
- Quarterly Total Non-Current Liabilities has moved between $41.09 million (Q3 2021) and $112.52 million (Q4 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for eight straight quarters, with an average decline of 16.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 189.6%); the worst was Q2 2025 (a decline of 29.0%).
- Per Business Quant data, ZNTL's Total Non-Current Liabilities in the three quarters before Q2 2026 was $69.89 million (Q1 2026), $72.26 million (Q4 2025) and $73.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Zentalis Pharmaceuticals | 198.52 Mn | 198.52 Mn | - | 71.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.18 Mn |
| Mar 31, 2026 | 69.89 Mn |
| Dec 31, 2025 | 72.26 Mn |
| Sep 30, 2025 | 73.88 Mn |
| Jun 30, 2025 | 76.71 Mn |
| Mar 31, 2025 | 88.08 Mn |
| Dec 31, 2024 | 92.30 Mn |
| Sep 30, 2024 | 95.33 Mn |
| Jun 30, 2024 | 108.01 Mn |
| Mar 31, 2024 | 97.41 Mn |
| Dec 31, 2023 | 112.52 Mn |
| Sep 30, 2023 | 102.18 Mn |
| Jun 30, 2023 | 95.79 Mn |
| Mar 31, 2023 | 101.89 Mn |
| Dec 31, 2022 | 102.67 Mn |
| Sep 30, 2022 | 55.29 Mn |
| Jun 30, 2022 | 49.96 Mn |
| Mar 31, 2022 | 45.03 Mn |
| Dec 31, 2021 | 90.03 Mn |
| Sep 30, 2021 | 41.09 Mn |
Zentalis Pharmaceuticals Total Non-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-non-current-liabilities&ticker=ZNTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ZNTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();