Whitehawk Therapeutics (WHWK) Shares Outstanding (Diluted) (2017 - 2026)
Whitehawk Therapeutics' Shares Outstanding (Diluted) came in at 82.89 million for Q2 2026, up 20.0% from 69.08 million a year earlier and up 19.7% from the prior quarter.
Whitehawk Therapeutics (WHWK) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Whitehawk Therapeutics' Shares Outstanding (Diluted) was 61.89 million, up 129.0% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last six years, with a five-year compound annual growth rate of 85.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 27.03 million in FY2024 (+0.4%), 26.92 million in FY2023 (+19.6%), 22.51 million in FY2022 (+152.3%) and 8.92 million in FY2021 (+217.6%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2017.
- Year-over-year, Shares Outstanding (Diluted) has increased for 25 consecutive quarters, with growth averaging 72.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.4% (Q3 2024) to 644.4% (Q1 2022).
- Business Quant data shows WHWK's Shares Outstanding (Diluted) at 69.24 million (Q1 2026), 61.89 million (Q4 2025) and 69.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Whitehawk Therapeutics | 311.65 Mn | 311.65 Mn | - | 82.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.89 Mn |
| Mar 31, 2026 | 69.24 Mn |
| Dec 31, 2025 | 61.89 Mn |
| Sep 30, 2025 | 69.20 Mn |
| Jun 30, 2025 | 69.08 Mn |
| Mar 31, 2025 | 39.93 Mn |
| Dec 31, 2024 | 27.03 Mn |
| Sep 30, 2024 | 27.04 Mn |
| Jun 30, 2024 | 27.01 Mn |
| Mar 31, 2024 | 26.98 Mn |
| Dec 31, 2023 | 26.92 Mn |
| Sep 30, 2023 | 26.95 Mn |
| Jun 30, 2023 | 26.88 Mn |
| Mar 31, 2023 | 26.86 Mn |
| Dec 31, 2022 | 22.51 Mn |
| Sep 30, 2022 | 21.27 Mn |
| Jun 30, 2022 | 20.97 Mn |
| Mar 31, 2022 | 20.91 Mn |
| Dec 31, 2021 | 8.92 Mn |
| Sep 30, 2021 | 9.51 Mn |
Whitehawk Therapeutics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WHWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();