Whitehawk Therapeutics (WHWK) Return on Sales [ROS] (2016 - 2025)
Whitehawk Therapeutics (WHWK) recorded Return on Sales [ROS] of -1601.12% in Q4 2025, down 1339.36 percentage points from -261.76% a year earlier and down 847.07 percentage points from the prior quarter.
Whitehawk Therapeutics (WHWK) Return on Sales [ROS] (2016 - 2025) Analysis & Trends
Starting with Q1 2016, Whitehawk Therapeutics' Return on Sales [ROS] history includes 36 quarters.
- Annual Return on Sales [ROS] has a five-year change of +122.97 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -259.62% in FY2024 (+35.74 pp), -295.36% in FY2023 (+116.58 pp), -411.94% in FY2022 (+382.47 pp) and -794.41% in FY2021 (+929.68 pp).
- The Q4 2025 figure is the lowest quarterly Return on Sales [ROS] since Q3 2021.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -232.57 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 70643.30 percentage points in Q3 2022, against a drop of 356972.63 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -754.05% (Q3 2025), -473.83% (Q2 2025) and -212.99% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Whitehawk Therapeutics | 289.11 Mn | 119.41 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1,601.12% |
| Sep 30, 2025 | -754.05% |
| Jun 30, 2025 | -473.83% |
| Mar 31, 2025 | -212.99% |
| Dec 31, 2024 | -261.76% |
| Sep 30, 2024 | -185.98% |
| Jun 30, 2024 | -252.21% |
| Mar 31, 2024 | -364.51% |
| Dec 31, 2023 | -280.02% |
| Sep 30, 2023 | -299.53% |
| Jun 30, 2023 | -315.14% |
| Mar 31, 2023 | -286.77% |
| Dec 31, 2022 | -296.00% |
| Sep 30, 2022 | -354.20% |
| Jun 30, 2022 | -534.19% |
| Mar 31, 2022 | -598.79% |
| Dec 31, 2021 | -114.88% |
| Sep 30, 2021 | -70,997.51% |
| Jun 30, 2021 | -628.55% |
| Mar 31, 2021 | -3,405.83% |
Whitehawk Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WHWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();