Werewolf Therapeutics (HOWL) Total Current Liabilities (2020 - 2026)
Werewolf Therapeutics' Total Current Liabilities was $7.86 million in Q2 2026, down 48.2% from $15.17 million a year earlier and down 79.6% from the prior quarter.
Werewolf Therapeutics (HOWL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Werewolf Therapeutics came in at $36.15 million, up 138.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 46.9% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $15.18 million in FY2024 (-21.7%), $19.38 million in FY2023 (-19.2%), $23.99 million in FY2022 (+102.0%) and $11.87 million in FY2021 (+124.7%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q3 2021.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 39.2%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 312.0%); the worst was Q2 2023 (a decline of 50.6%).
- Per Business Quant data, HOWL's Total Current Liabilities in the three quarters before Q2 2026 was $38.52 million (Q1 2026), $36.15 million (Q4 2025) and $17.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Werewolf Therapeutics | 49.57 Mn | -141.69 Mn | - | 7.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.86 Mn |
| Mar 31, 2026 | 38.52 Mn |
| Dec 31, 2025 | 36.15 Mn |
| Sep 30, 2025 | 17.60 Mn |
| Jun 30, 2025 | 15.17 Mn |
| Mar 31, 2025 | 11.67 Mn |
| Dec 31, 2024 | 15.18 Mn |
| Sep 30, 2024 | 12.46 Mn |
| Jun 30, 2024 | 11.44 Mn |
| Mar 31, 2024 | 21.21 Mn |
| Dec 31, 2023 | 19.38 Mn |
| Sep 30, 2023 | 14.44 Mn |
| Jun 30, 2023 | 15.01 Mn |
| Mar 31, 2023 | 21.72 Mn |
| Dec 31, 2022 | 23.99 Mn |
| Sep 30, 2022 | 27.80 Mn |
| Jun 30, 2022 | 30.37 Mn |
| Mar 31, 2022 | 11.03 Mn |
| Dec 31, 2021 | 11.87 Mn |
| Sep 30, 2021 | 7.78 Mn |
Werewolf Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();