Vanda Pharmaceuticals (VNDA) Long-Term Debt Repayments (2024 - 2026)
Vanda Pharmaceuticals (VNDA) reported Long-Term Debt Repayments of $856,000 for Q2 2026, up 101.4% from $425,000 a year earlier and up 10.3% from the prior quarter.
Vanda Pharmaceuticals (VNDA) Long-Term Debt Repayments (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vanda Pharmaceuticals' Long-Term Debt Repayments came in at $2.79 million, up 182.0% year-over-year; for FY2025, it came in at $1.99 million.
- By year, Long-Term Debt Repayments came in at $155,000 in FY2024.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $776,000 (Q1 2026), $640,000 (Q4 2025) and $517,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Vanda Pharmaceuticals | 243.62 Mn | -686.32 Mn | 46.97 Mn | 856,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 856,000.00 |
| Mar 31, 2026 | 776,000.00 |
| Dec 31, 2025 | 640,000.00 |
| Sep 30, 2025 | 517,000.00 |
| Jun 30, 2025 | 425,000.00 |
| Mar 31, 2025 | 409,000.00 |
| Dec 31, 2024 | 155,000.00 |
Vanda Pharmaceuticals Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VNDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();