Vericel (VCEL) Operating Expenses (2009 - 2026)
Vericel (VCEL) reported Operating Expenses of $55.97 million for Q2 2026, up 15.1% from $48.64 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Vericel (VCEL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vericel's Operating Expenses came in at $210.15 million, up 15.6% year-over-year; for FY2025, it was $194.56 million, up 16.1% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $167.59 million in FY2024 (+18.0%), $142.04 million in FY2023 (+12.0%), $126.85 million in FY2022 (+11.4%) and $113.88 million in FY2021 (+39.1%).
- Five-year quarterly Operating Expenses spans a low of $27.06 million in Q3 2021 and a high of $57.33 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 24 quarters, with growth averaging 16.6% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 4.2% (Q2 2022) and 42.8% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.33 million (Q1 2026), $50.71 million (Q4 2025) and $46.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Vericel | 3.01 Bn | 2.40 Bn | 62.61 Mn | 50.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.42 Mn |
| Jun 30, 2026 | 55.97 Mn |
| Mar 31, 2026 | 57.33 Mn |
| Dec 31, 2025 | 50.71 Mn |
| Sep 30, 2025 | 46.14 Mn |
| Jun 30, 2025 | 48.64 Mn |
| Mar 31, 2025 | 49.07 Mn |
| Dec 31, 2024 | 40.02 Mn |
| Sep 30, 2024 | 44.12 Mn |
| Jun 30, 2024 | 42.63 Mn |
| Mar 31, 2024 | 40.82 Mn |
| Dec 31, 2023 | 35.78 Mn |
| Sep 30, 2023 | 35.67 Mn |
| Jun 30, 2023 | 35.90 Mn |
| Mar 31, 2023 | 34.70 Mn |
| Dec 31, 2022 | 32.16 Mn |
| Sep 30, 2022 | 32.02 Mn |
| Jun 30, 2022 | 31.94 Mn |
| Mar 31, 2022 | 30.73 Mn |
| Dec 31, 2021 | 29.89 Mn |
API Access
Vericel Operating Expenses 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=operating-expenses&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();