Whitehawk Therapeutics (WHWK) Total Non-Current Liabilities (2019 - 2025)
Whitehawk Therapeutics (WHWK) reported Total Non-Current Liabilities of $14.52 million for Q4 2025, down 17.7% from $17.64 million a year earlier but up 47.4% from the prior quarter.
Powered by 
Analysis
Whitehawk Therapeutics (WHWK) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
Dating back to Q4 2020, Whitehawk Therapeutics' Total Non-Current Liabilities record includes 17 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $17.64 million in FY2024 (-35.2%), $27.23 million in FY2023 (+35.4%), $20.1 million in FY2022 (+27.7%) and $15.75 million in FY2021 (-49.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $8.76 million in Q2 2025 and a high of $27.23 million in Q4 2023.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2022 (growth of 59.1%); the low point was Q4 2021 (a decline of 49.5%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $9.85 million (Q3 2025), $8.76 million (Q2 2025) and $12.27 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Whitehawk Therapeutics | 289.11 Mn | 119.41 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.52 Mn |
| Sep 30, 2025 | 9.85 Mn |
| Jun 30, 2025 | 8.76 Mn |
| Mar 31, 2025 | 12.27 Mn |
| Dec 31, 2024 | 17.64 Mn |
| Sep 30, 2024 | 16.44 Mn |
| Jun 30, 2024 | 17.07 Mn |
| Mar 31, 2024 | 14.86 Mn |
| Dec 31, 2023 | 27.23 Mn |
| Sep 30, 2023 | 21.46 Mn |
| Jun 30, 2023 | 14.05 Mn |
| Mar 31, 2023 | 18.91 Mn |
| Dec 31, 2022 | 20.10 Mn |
| Sep 30, 2022 | 19.24 Mn |
| Jun 30, 2022 | 14.04 Mn |
| Mar 31, 2022 | 11.93 Mn |
| Dec 31, 2021 | 15.75 Mn |
| Sep 30, 2021 | 12.09 Mn |
| Dec 31, 2020 | 31.16 Mn |
| Jun 30, 2020 | 63.35 Mn |
API Access
Whitehawk 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=WHWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "WHWK", "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=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();