Werewolf Therapeutics (HOWL) Operating Margin (2022 - 2026)
Werewolf Therapeutics (HOWL) recorded Operating Margin of 34.09% in Q2 2026.
Werewolf Therapeutics (HOWL) Operating Margin (2022 - 2026) Analysis & Trends
On a TTM basis, Werewolf Therapeutics' Operating Margin came in at -148.84% as of Jun 30, 2026, up 486551.16 percentage points year-over-year; for FY2024, it came in at -3873.37%, down 3670.27 percentage points from FY2023.
- Across earlier years, Operating Margin came in at -203.09% in FY2023 (+138.69 pp) and -341.78% in FY2022.
- The Q2 2026 figure is the highest quarterly Operating Margin in data going back to Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (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 | Werewolf Therapeutics | 47.14 Mn | -144.12 Mn | - | 34.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.09% |
| Dec 31, 2024 | -135,653.33% |
| Jun 30, 2024 | -1,658.79% |
| Mar 31, 2024 | -2,312.94% |
| Dec 31, 2023 | -863.56% |
| Sep 30, 2023 | -156.88% |
| Jun 30, 2023 | -75.08% |
| Mar 31, 2023 | -273.81% |
| Dec 31, 2022 | -180.96% |
| Sep 30, 2022 | -252.29% |
| Jun 30, 2022 | -360.95% |
Werewolf Therapeutics Operating Margin 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=operating-margin&ticker=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "HOWL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();