Vericel (VCEL) Receivables (2010 - 2026)
Vericel (VCEL) posted Receivables of $75.71 million for Q2 2026, up 17.8% from $64.29 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Vericel (VCEL) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Vericel's Receivables came in at $84.63 million, up 37.9% from FY2024.
- Annual Receivables has increased for 11 consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In prior years, Vericel's Receivables was $61.38 million in FY2024 (+5.2%), $58.36 million in FY2023 (+25.4%), $46.54 million in FY2022 (+24.3%) and $37.44 million in FY2021 (+8.5%).
- Quarterly Receivables has run from a low of $28.91 million in Q3 2021 to a high of $84.63 million in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 45 quarters, with growth averaging 23.0% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 5.2% (Q4 2024) and 37.9% (Q4 2025) over the last five years.
- According to Business Quant data, Receivables for the three prior quarters was $72.38 million (Q1 2026), $84.63 million (Q4 2025) and $60.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Vericel | 2.06 Bn | 1.48 Bn | 56.40 Mn | 75.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.71 Mn |
| Mar 31, 2026 | 72.38 Mn |
| Dec 31, 2025 | 84.63 Mn |
| Sep 30, 2025 | 60.43 Mn |
| Jun 30, 2025 | 64.29 Mn |
| Mar 31, 2025 | 52.90 Mn |
| Dec 31, 2024 | 61.38 Mn |
| Sep 30, 2024 | 48.48 Mn |
| Jun 30, 2024 | 48.00 Mn |
| Mar 31, 2024 | 49.93 Mn |
| Dec 31, 2023 | 58.36 Mn |
| Sep 30, 2023 | 39.73 Mn |
| Jun 30, 2023 | 38.32 Mn |
| Mar 31, 2023 | 38.36 Mn |
| Dec 31, 2022 | 46.54 Mn |
| Sep 30, 2022 | 34.30 Mn |
| Jun 30, 2022 | 33.66 Mn |
| Mar 31, 2022 | 31.86 Mn |
| Dec 31, 2021 | 37.44 Mn |
| Sep 30, 2021 | 28.91 Mn |
API Access
Vericel 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=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "VCEL", "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=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();