Northwest Biotherapeutics (NWBO) Change in Accured Expenses (2010 - 2026)
Northwest Biotherapeutics (NWBO) recorded Change in Accured Expenses of $2.72 million in Q2 2026, down 13.8% from $3.16 million a year earlier but up 207.2% from the prior quarter.
Northwest Biotherapeutics (NWBO) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Northwest Biotherapeutics' Change in Accured Expenses came in at $3.83 million as of Jun 30, 2026, down 66.1% year-over-year; for FY2025, it was $7.75 million, down 13.3% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $8.94 million in FY2024, $50,000 in FY2023 (-98.6%), $3.49 million in FY2022 and $77,000 in FY2021 (-95.5%).
- Quarterly Change in Accured Expenses has ranged from -$2.61 million in Q4 2023 to $4.53 million in Q1 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last six quarters, with growth averaging 143.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 640.6% in Q3 2024, against a decline of 79.7% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $886,000 (Q1 2026), -$1.1 million (Q4 2025) and $1.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Northwest Biotherapeutics | 250.40 Mn | 240.41 Mn | - | 2.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.72 Mn |
| Mar 31, 2026 | 886,000.00 |
| Dec 31, 2025 | -1.10 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 3.16 Mn |
| Mar 31, 2025 | 4.38 Mn |
| Dec 31, 2024 | 402,000.00 |
| Sep 30, 2024 | 3.34 Mn |
| Jun 30, 2024 | 664,000.00 |
| Mar 31, 2024 | 4.53 Mn |
| Dec 31, 2023 | -2.61 Mn |
| Sep 30, 2023 | 451,000.00 |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 975,000.00 |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | -282,000.00 |
| Jun 30, 2022 | 738,000.00 |
| Mar 31, 2022 | 795,000.00 |
| Dec 31, 2021 | -2.27 Mn |
| Sep 30, 2021 | 927,000.00 |
Northwest Biotherapeutics Change in Accured Expenses 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=change-in-accured-expenses&ticker=NWBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NWBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();