Werewolf Therapeutics (HOWL) Non-Current Assets (2020 - 2026)
Werewolf Therapeutics (HOWL) posted Non-Current Assets of $1.26 million for Q2 2026, down 89.6% from $12.13 million a year earlier and down 86.4% from the prior quarter.
Werewolf Therapeutics (HOWL) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Werewolf Therapeutics' Non-Current Assets came in at $10.81 million, down 22.0% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- In prior years, Werewolf Therapeutics' Non-Current Assets was $13.86 million in FY2024 (-62.0%), $36.46 million in FY2023 (+81.9%), $20.05 million in FY2022 (+10.2%) and $18.18 million in FY2021 (+421.9%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 45.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2022, with growth of 424.7%; the weakest was Q2 2026, with a decline of 89.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $9.29 million (Q1 2026), $10.81 million (Q4 2025) and $11.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Werewolf Therapeutics | 49.57 Mn | -141.69 Mn | - | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 9.29 Mn |
| Dec 31, 2025 | 10.81 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 12.13 Mn |
| Mar 31, 2025 | 12.78 Mn |
| Dec 31, 2024 | 13.86 Mn |
| Sep 30, 2024 | 14.20 Mn |
| Jun 30, 2024 | 14.92 Mn |
| Mar 31, 2024 | 35.32 Mn |
| Dec 31, 2023 | 36.46 Mn |
| Sep 30, 2023 | 37.13 Mn |
| Jun 30, 2023 | 37.84 Mn |
| Mar 31, 2023 | 38.51 Mn |
| Dec 31, 2022 | 20.05 Mn |
| Sep 30, 2022 | 20.84 Mn |
| Jun 30, 2022 | 21.16 Mn |
| Mar 31, 2022 | 19.20 Mn |
| Dec 31, 2021 | 18.18 Mn |
| Sep 30, 2021 | 3.97 Mn |
Werewolf Therapeutics Non-Current Assets 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=non-current-assets&ticker=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();