Werewolf Therapeutics (HOWL) Total Non-Current Liabilities (2020 - 2026)
Werewolf Therapeutics (HOWL) posted Total Non-Current Liabilities of $7.86 million for Q2 2026, down 83.8% from $48.46 million a year earlier and down 82.8% from the prior quarter.
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Analysis
Werewolf Therapeutics (HOWL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Werewolf Therapeutics' Total Non-Current Liabilities came in at $43.83 million, down 13.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -21.6% (FY2020 to FY2025).
- In prior years, Werewolf Therapeutics' Total Non-Current Liabilities was $50.71 million in FY2024 (-20.1%), $63.46 million in FY2023 (+68.3%), $37.72 million in FY2022 (+42.5%) and $26.46 million in FY2021 (-82.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last four quarters, with an average decline of 20.5% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2022, with growth of 411.1%; the weakest was Q2 2026, with a decline of 83.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $45.74 million (Q1 2026), $43.83 million (Q4 2025) and $47.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Werewolf Therapeutics | 49.08 Mn | -142.18 Mn | - | 7.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.86 Mn |
| Mar 31, 2026 | 45.74 Mn |
| Dec 31, 2025 | 43.83 Mn |
| Sep 30, 2025 | 47.40 Mn |
| Jun 30, 2025 | 48.46 Mn |
| Mar 31, 2025 | 47.27 Mn |
| Dec 31, 2024 | 50.71 Mn |
| Sep 30, 2024 | 47.92 Mn |
| Jun 30, 2024 | 46.84 Mn |
| Dec 31, 2023 | 63.46 Mn |
| Sep 30, 2023 | 63.94 Mn |
| Jun 30, 2023 | 66.64 Mn |
| Mar 31, 2023 | 74.00 Mn |
| Dec 31, 2022 | 37.72 Mn |
| Sep 30, 2022 | 41.29 Mn |
| Jun 30, 2022 | 45.30 Mn |
| Dec 31, 2021 | 26.46 Mn |
| Sep 30, 2021 | 9.07 Mn |
| Jun 30, 2021 | 8.86 Mn |
| Mar 31, 2021 | 243.19 Mn |
API Access
Werewolf Therapeutics Total Non-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-non-current-liabilities&ticker=HOWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();