Nektar Therapeutics (NKTR) Total Liabilities (2010 - 2026)
Nektar Therapeutics' Total Liabilities came in at $192.01 million for Q2 2026, down 17.1% from $231.75 million a year earlier but up 2.6% from the prior quarter.
Nektar Therapeutics (NKTR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nektar Therapeutics' Total Liabilities was $190.57 million, down 21.6% from FY2024.
- Total Liabilities has declined in each of the last six years, with a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $243.11 million in FY2024 (-9.0%), $267.05 million in FY2023 (-22.4%), $343.96 million in FY2022 (-21.4%) and $437.68 million in FY2021 (-5.2%).
- The five-year range for quarterly Total Liabilities is $187.06 million (Q1 2026) to $475.7 million (Q3 2021).
- Year-over-year, Total Liabilities has declined for 19 consecutive quarters, with an average decline of 14.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 40.9%), and the weakest in Q2 2023 (a decline of 26.3%).
- Business Quant data shows NKTR's Total Liabilities at $187.06 million (Q1 2026), $190.57 million (Q4 2025) and $216.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Nektar Therapeutics | 2.00 Bn | 227.61 Mn | - | 192.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.01 Mn |
| Mar 31, 2026 | 187.06 Mn |
| Dec 31, 2025 | 190.57 Mn |
| Sep 30, 2025 | 216.26 Mn |
| Jun 30, 2025 | 231.75 Mn |
| Mar 31, 2025 | 242.50 Mn |
| Dec 31, 2024 | 243.11 Mn |
| Sep 30, 2024 | 259.08 Mn |
| Jun 30, 2024 | 263.65 Mn |
| Mar 31, 2024 | 269.31 Mn |
| Dec 31, 2023 | 267.05 Mn |
| Sep 30, 2023 | 282.88 Mn |
| Jun 30, 2023 | 297.32 Mn |
| Mar 31, 2023 | 320.88 Mn |
| Dec 31, 2022 | 343.96 Mn |
| Sep 30, 2022 | 368.78 Mn |
| Jun 30, 2022 | 403.26 Mn |
| Mar 31, 2022 | 416.23 Mn |
| Dec 31, 2021 | 437.68 Mn |
| Sep 30, 2021 | 475.70 Mn |
Nektar Therapeutics Total 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-liabilities&ticker=NKTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NKTR", "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-liabilities&ticker=NKTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();