Northwest Biotherapeutics (NWBO) Total Non-Current Liabilities (2010 - 2026)
Northwest Biotherapeutics' Total Non-Current Liabilities came in at $37.37 million for Q2 2026, up 15.8% from $32.26 million a year earlier and up 6.3% from the prior quarter.
Northwest Biotherapeutics (NWBO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Northwest Biotherapeutics' Total Non-Current Liabilities was $37.16 million, down 0.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $37.43 million in FY2024 (+26.0%), $29.72 million in FY2023 (+186.8%), $10.36 million in FY2022 (-65.9%) and $30.38 million in FY2021 (+126.3%).
- The five-year range for quarterly Total Non-Current Liabilities is $10.07 million (Q3 2022) to $37.95 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 25.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 186.8%), and the weakest in Q4 2022 (a decline of 65.9%).
- Business Quant data shows NWBO's Total Non-Current Liabilities at $35.14 million (Q1 2026), $37.16 million (Q4 2025) and $37.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.82 Bn | 1,135.41 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 644.52 Bn | 564.38 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 501.88 Bn | 474.99 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.72 Bn | 313.10 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.27 Bn | 266.26 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.62 Bn | 241.31 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.67 Bn | 197.07 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.60 Bn | 118.24 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Northwest Biotherapeutics | 256.22 Mn | 246.24 Mn | - | 37.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.37 Mn |
| Mar 31, 2026 | 35.14 Mn |
| Dec 31, 2025 | 37.16 Mn |
| Sep 30, 2025 | 37.95 Mn |
| Jun 30, 2025 | 32.26 Mn |
| Mar 31, 2025 | 29.28 Mn |
| Dec 31, 2024 | 37.43 Mn |
| Sep 30, 2024 | 34.00 Mn |
| Jun 30, 2024 | 29.80 Mn |
| Mar 31, 2024 | 19.60 Mn |
| Dec 31, 2023 | 29.72 Mn |
| Sep 30, 2023 | 19.72 Mn |
| Jun 30, 2023 | 24.16 Mn |
| Mar 31, 2023 | 20.39 Mn |
| Dec 31, 2022 | 10.36 Mn |
| Sep 30, 2022 | 10.07 Mn |
| Jun 30, 2022 | 21.03 Mn |
| Mar 31, 2022 | 21.17 Mn |
| Dec 31, 2021 | 30.38 Mn |
| Sep 30, 2021 | 17.63 Mn |
Northwest Biotherapeutics 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=NWBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NWBO", "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=NWBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();