Vericel (VCEL) Depreciation & Amortization (CF) (2009 - 2026)
Vericel's Depreciation & Amortization (CF) came in at $3.62 million for Q2 2026, up 28.1% from $2.83 million a year earlier and up 10.8% from the prior quarter.
Vericel (VCEL) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vericel reported Depreciation & Amortization (CF) of $12.92 million, up 55.4% year-over-year; for FY2025, it came in at $11.54 million, up 109.7% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last seven years, with a five-year compound annual growth rate of 36.9% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $5.5 million in FY2024 (+18.8%), $4.63 million in FY2023 (+16.4%), $3.98 million in FY2022 (+34.3%) and $2.97 million in FY2021 (+23.5%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q4 2011.
- Year-over-year, Depreciation & Amortization (CF) has increased for 28 consecutive quarters, with growth averaging 66.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation & Amortization (CF) ran from 1.9% in Q4 2021 to 122.0% in Q3 2025.
- Business Quant data shows VCEL's Depreciation & Amortization (CF) at $3.27 million (Q1 2026), $3.09 million (Q4 2025) and $2.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Vericel | 3.01 Bn | 2.40 Bn | 62.61 Mn | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.63 Mn |
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | 3.09 Mn |
| Sep 30, 2025 | 2.94 Mn |
| Jun 30, 2025 | 2.83 Mn |
| Mar 31, 2025 | 2.69 Mn |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.38 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.15 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.16 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 873,000.00 |
| Dec 31, 2021 | 765,000.00 |
Vericel Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();