Denali Therapeutics (DNLI) Total Non-Current Liabilities (2017 - 2025)
Denali Therapeutics' Total Non-Current Liabilities came in at $125.39 million for Q3 2025, down 4.7% from $131.57 million a year earlier and down 2.6% from the prior quarter.
Denali Therapeutics (DNLI) Total Non-Current Liabilities (2017 - 2025) Analysis & Trends
At the end of FY2024, Denali Therapeutics' Total Non-Current Liabilities was $144.5 million, up 17.5% from FY2023.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.8% (FY2019 to FY2024).
- Going back by year, Total Non-Current Liabilities was $122.96 million in FY2023 (-70.5%), $417.43 million in FY2022 (-5.4%), $441.49 million in FY2021 (-2.6%) and $453.05 million in FY2020 (+186.8%).
- The Q3 2025 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Year-over-year, Total Non-Current Liabilities increased in two of the last four quarters, with an average decline of 11.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2021 (growth of 201.4%), and the weakest in Q3 2023 (a decline of 71.6%).
- Business Quant data shows DNLI's Total Non-Current Liabilities at $128.74 million (Q2 2025), $131.92 million (Q1 2025) and $144.5 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Denali Therapeutics | 3.35 Bn | 3.35 Bn | 3.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 125.39 Mn |
| Jun 30, 2025 | 128.74 Mn |
| Mar 31, 2025 | 131.92 Mn |
| Dec 31, 2024 | 144.50 Mn |
| Sep 30, 2024 | 131.57 Mn |
| Dec 31, 2023 | 122.96 Mn |
| Sep 30, 2023 | 118.07 Mn |
| Jun 30, 2023 | 118.53 Mn |
| Mar 31, 2023 | 442.26 Mn |
| Dec 31, 2022 | 417.43 Mn |
| Sep 30, 2022 | 415.92 Mn |
| Jun 30, 2022 | 407.64 Mn |
| Mar 31, 2022 | 402.55 Mn |
| Dec 31, 2021 | 441.49 Mn |
| Sep 30, 2021 | 436.99 Mn |
| Jun 30, 2021 | 436.41 Mn |
| Mar 31, 2021 | 441.80 Mn |
| Dec 31, 2020 | 453.05 Mn |
| Sep 30, 2020 | 187.38 Mn |
| Jun 30, 2020 | 144.79 Mn |
Denali Therapeutics 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=DNLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DNLI", "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=DNLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();