Vanda Pharmaceuticals (VNDA) Cash & Equivalents (2009 - 2026)
Vanda Pharmaceuticals' Cash & Equivalents came in at $61.93 million for Q3 2026, down 11.6% from $70.02 million a year earlier but up 10.8% from the prior quarter.
Vanda Pharmaceuticals (VNDA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Vanda Pharmaceuticals' Cash & Equivalents was $84.85 million, down 17.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $102.32 million in FY2024 (-24.7%), $135.82 million in FY2023 (+0.6%), $135.03 million in FY2022 (+159.3%) and $52.07 million in FY2021 (-14.7%).
- The five-year range for quarterly Cash & Equivalents is $49.4 million (Q3 2022) to $354.17 million (Q1 2023).
- Year-over-year, Cash & Equivalents has declined for 11 consecutive quarters, with an average decline of 24.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2023 (growth of 429.2%), and the weakest in Q1 2024 (a decline of 64.7%).
- Business Quant data shows VNDA's Cash & Equivalents at $55.88 million (Q2 2026), $54.03 million (Q1 2026) and $84.85 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Vanda Pharmaceuticals | 246.71 Mn | -529.97 Mn | 65.66 Mn | 61.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.93 Mn |
| Jun 30, 2026 | 55.88 Mn |
| Mar 31, 2026 | 54.03 Mn |
| Dec 31, 2025 | 84.85 Mn |
| Sep 30, 2025 | 70.02 Mn |
| Jun 30, 2025 | 80.98 Mn |
| Mar 31, 2025 | 111.80 Mn |
| Dec 31, 2024 | 102.32 Mn |
| Sep 30, 2024 | 100.50 Mn |
| Jun 30, 2024 | 102.95 Mn |
| Mar 31, 2024 | 125.16 Mn |
| Dec 31, 2023 | 135.82 Mn |
| Sep 30, 2023 | 183.19 Mn |
| Jun 30, 2023 | 150.03 Mn |
| Mar 31, 2023 | 354.17 Mn |
| Dec 31, 2022 | 135.03 Mn |
| Sep 30, 2022 | 49.40 Mn |
| Jun 30, 2022 | 58.23 Mn |
| Mar 31, 2022 | 66.93 Mn |
| Dec 31, 2021 | 52.07 Mn |
Vanda Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=VNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();