Werewolf Therapeutics (HOWL) Research & Development (2020 - 2026)
Werewolf Therapeutics' Research & Development came in at $6.16 million for Q2 2026, down 53.1% from $13.14 million a year earlier and down 24.7% from the prior quarter.
Werewolf Therapeutics (HOWL) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Werewolf Therapeutics reported Research & Development of $32.91 million, down 39.6% year-over-year; for FY2025, it was $44.83 million, down 20.6% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Going back by year, Research & Development was $56.43 million in FY2024 (+35.1%), $41.78 million in FY2023 (-22.3%), $53.76 million in FY2022 (+52.4%) and $35.27 million in FY2021 (+111.9%).
- The Q2 2026 figure represents the lowest quarterly Research & Development since Q1 2021.
- Year-over-year, Research & Development has declined for five consecutive quarters, with an average decline of 10.9% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2021 (growth of 153.5%), and the weakest in Q4 2025 (a decline of 55.9%).
- Business Quant data shows HOWL's Research & Development at $8.18 million (Q1 2026), $6.93 million (Q4 2025) and $11.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Werewolf Therapeutics | 49.57 Mn | -141.69 Mn | - | 6.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.16 Mn |
| Mar 31, 2026 | 8.18 Mn |
| Dec 31, 2025 | 6.93 Mn |
| Sep 30, 2025 | 11.63 Mn |
| Jun 30, 2025 | 13.14 Mn |
| Mar 31, 2025 | 13.12 Mn |
| Dec 31, 2024 | 15.73 Mn |
| Sep 30, 2024 | 12.53 Mn |
| Jun 30, 2024 | 15.27 Mn |
| Mar 31, 2024 | 12.91 Mn |
| Dec 31, 2023 | 9.65 Mn |
| Sep 30, 2023 | 10.84 Mn |
| Jun 30, 2023 | 9.58 Mn |
| Mar 31, 2023 | 11.71 Mn |
| Dec 31, 2022 | 15.86 Mn |
| Sep 30, 2022 | 13.07 Mn |
| Jun 30, 2022 | 13.89 Mn |
| Mar 31, 2022 | 10.95 Mn |
| Dec 31, 2021 | 13.40 Mn |
| Sep 30, 2021 | 9.79 Mn |
Werewolf Therapeutics Research & Development 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=research-and-development&ticker=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();