Werewolf Therapeutics (HOWL) Net Margin (2022 - 2026)
Werewolf Therapeutics (HOWL) recorded Net Margin of 17.48% in Q2 2026.
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Analysis
Werewolf Therapeutics (HOWL) Net Margin (2022 - 2026) Analysis & Trends
On a TTM basis, Werewolf Therapeutics' Net Margin came in at -164.82% as of Jun 30, 2026, up 487461.84 percentage points year-over-year; for FY2024, it was -3711.32%, down 3523.94 percentage points from FY2023.
- Across earlier years, Net Margin came in at -187.37% in FY2023 (+140.72 pp) and -328.09% in FY2022.
- The Q2 2026 figure is the highest quarterly Net Margin in data going back to Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -1.65% |
| 10 | Werewolf Therapeutics | 49.57 Mn | -141.69 Mn | - | 17.48% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.48% |
| Dec 31, 2024 | -136,000.00% |
| Jun 30, 2024 | -1,509.10% |
| Mar 31, 2024 | -2,182.35% |
| Dec 31, 2023 | -799.67% |
| Sep 30, 2023 | -140.50% |
| Jun 30, 2023 | -63.09% |
| Mar 31, 2023 | -268.41% |
| Dec 31, 2022 | -163.81% |
| Sep 30, 2022 | -240.30% |
| Jun 30, 2022 | -351.83% |
API Access
Werewolf Therapeutics Net 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=net-margin&ticker=HOWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();