Whitehawk Therapeutics (WHWK) Prepaid Assets (2010 - 2026)
Whitehawk Therapeutics (WHWK) posted Prepaid Assets of $2.43 million for Q2 2026, up 65.3% from $1.47 million a year earlier but down 2.9% from the prior quarter.
Whitehawk Therapeutics (WHWK) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Whitehawk Therapeutics' Prepaid Assets came in at $3.32 million, up 16.9% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 110.1% (FY2020 to FY2025).
- In prior years, Whitehawk Therapeutics' Prepaid Assets was $2.84 million in FY2024 (-25.9%), $3.83 million in FY2023 (+2.1%), $3.75 million in FY2022 (+64.1%) and $2.28 million in FY2021.
- Quarterly Prepaid Assets has run from a low of $643,000 in Q3 2021 to a high of $4.39 million in Q1 2023 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last three quarters, with an average decline of 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q3 2022, with growth of 500.5%; the weakest was Q1 2025, with a decline of 54.8%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $2.51 million (Q1 2026), $3.32 million (Q4 2025) and $2.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Whitehawk Therapeutics | 311.65 Mn | 311.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 2.51 Mn |
| Dec 31, 2025 | 3.32 Mn |
| Sep 30, 2025 | 2.44 Mn |
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 1.55 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.69 Mn |
| Jun 30, 2024 | 2.42 Mn |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | 3.83 Mn |
| Sep 30, 2023 | 4.22 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 3.75 Mn |
| Sep 30, 2022 | 3.86 Mn |
| Jun 30, 2022 | 2.81 Mn |
| Mar 31, 2022 | 2.86 Mn |
| Dec 31, 2021 | 2.28 Mn |
| Sep 30, 2021 | 643,000.00 |
Whitehawk Therapeutics Prepaid Assets 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=prepaid-assets&ticker=WHWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();