Werewolf Therapeutics (HOWL) Net Long-Term Debt Issued (Repaid) (2023 - 2024)
Werewolf Therapeutics' Non-Current Debt was $21.66 million in Q3 2025, down 15.5% from $25.62 million a year earlier and down 12.3% from the prior quarter.
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Analysis
Werewolf Therapeutics (HOWL) Net Long-Term Debt Issued (Repaid) (2023 - 2024) Analysis & Trends
At the end of FY2024, Non-Current Debt at Werewolf Therapeutics came in at $26.1 million, down 20.1% from FY2023.
- In earlier years, Non-Current Debt was $32.66 million in FY2023.
- The Q3 2025 figure marks the lowest quarterly Non-Current Debt in data going back to Q1 2023.
- Compared with a year earlier, Non-Current Debt has declined for seven straight quarters, with an average decline of 19.7% over the last seven quarters.
- Per Business Quant data, HOWL's Non-Current Debt in the three quarters before Q3 2025 was $24.71 million (Q2 2025), $26.59 million (Q1 2025) and $26.1 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Werewolf Therapeutics | 47.14 Mn | -144.12 Mn | - | - |
API Access
Werewolf Therapeutics Net Long-Term Debt Issued (Repaid) 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-debt&ticker=HOWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();