Vanda Pharmaceuticals (VNDA) Receivables (2010 - 2026)
Vanda Pharmaceuticals (VNDA) posted Receivables of $59.69 million for Q2 2026, up 32.7% from $44.99 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Vanda Pharmaceuticals (VNDA) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Vanda Pharmaceuticals' Receivables came in at $54.58 million, up 15.9% from FY2024.
- Annual Receivables has increased for six consecutive years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In prior years, Vanda Pharmaceuticals' Receivables was $47.1 million in FY2024 (+37.9%), $34.16 million in FY2023 (+1.9%), $33.51 million in FY2022 (+3.2%) and $32.47 million in FY2021 (+8.1%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last 11 quarters, with growth averaging 25.9% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2024, with growth of 49.8%; the weakest was Q3 2022, with a decline of 29.3%.
- According to Business Quant data, Receivables for the three prior quarters was $56.88 million (Q1 2026), $54.58 million (Q4 2025) and $50.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 14.33 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Vanda Pharmaceuticals | 245.19 Mn | -531.49 Mn | 65.66 Mn | 60.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.32 Mn |
| Jun 30, 2026 | 59.69 Mn |
| Mar 31, 2026 | 56.88 Mn |
| Dec 31, 2025 | 54.58 Mn |
| Sep 30, 2025 | 50.54 Mn |
| Jun 30, 2025 | 44.99 Mn |
| Mar 31, 2025 | 44.60 Mn |
| Dec 31, 2024 | 47.10 Mn |
| Sep 30, 2024 | 42.75 Mn |
| Jun 30, 2024 | 41.86 Mn |
| Mar 31, 2024 | 36.71 Mn |
| Dec 31, 2023 | 34.16 Mn |
| Sep 30, 2023 | 29.27 Mn |
| Jun 30, 2023 | 33.62 Mn |
| Mar 31, 2023 | 24.51 Mn |
| Dec 31, 2022 | 33.51 Mn |
| Sep 30, 2022 | 29.35 Mn |
| Jun 30, 2022 | 28.81 Mn |
| Mar 31, 2022 | 30.50 Mn |
| Dec 31, 2021 | 32.47 Mn |
API Access
Vanda Pharmaceuticals Receivables 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=receivables&ticker=VNDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();