Nkarta (NKTX) Total Non-Current Liabilities (2019 - 2026)
Nkarta (NKTX) posted Total Non-Current Liabilities of $89.82 million for Q2 2026, down 0.8% from $90.56 million a year earlier but up 4.3% from the prior quarter.
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Analysis
Nkarta (NKTX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Nkarta's Total Non-Current Liabilities came in at $91.8 million, down 1.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- In prior years, Nkarta's Total Non-Current Liabilities was $93.14 million in FY2024 and $22.92 million in FY2021 (+40.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $22.4 million in Q3 2021 to a high of $104.53 million in Q3 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 366.7%; the weakest was Q1 2026, with a decline of 6.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $86.13 million (Q1 2026), $91.8 million (Q4 2025) and $89.25 million (Q3 2025).
Peer Set
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 | Nkarta | 187.66 Mn | 187.66 Mn | - | 89.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.82 Mn |
| Mar 31, 2026 | 86.13 Mn |
| Dec 31, 2025 | 91.80 Mn |
| Sep 30, 2025 | 89.25 Mn |
| Jun 30, 2025 | 90.56 Mn |
| Mar 31, 2025 | 91.72 Mn |
| Dec 31, 2024 | 93.14 Mn |
| Sep 30, 2022 | 104.53 Mn |
| Jun 30, 2022 | 82.59 Mn |
| Mar 31, 2022 | 77.58 Mn |
| Dec 31, 2021 | 22.92 Mn |
| Sep 30, 2021 | 22.40 Mn |
| Jun 30, 2021 | 20.66 Mn |
| Mar 31, 2021 | 19.63 Mn |
| Dec 31, 2020 | 16.35 Mn |
| Sep 30, 2020 | 17.22 Mn |
| Jun 30, 2020 | 127.39 Mn |
| Dec 31, 2019 | 73.76 Mn |
API Access
Nkarta 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=NKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NKTX", "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=NKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();