Docebo (DCBO) Amortization - Intangibles (2021 - 2025)
Docebo's Amortization - Intangibles was $161,000 in the quarter ended Dec 31, 2025, down 6.4% from $172,000 a year earlier and down 10.1% from the prior quarter.
Docebo (DCBO) Amortization - Intangibles (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Amortization - Intangibles at Docebo came in at $689,000, down 0.6% from the prior year.
- Amortization - Intangibles shows a four-year compound annual growth rate of 16.6% (years ended Dec 2021 to Dec 2025).
- In earlier years, Amortization - Intangibles was $693,000 in the year ended Dec 31, 2024 (+13.1%), $613,000 in the year ended Dec 31, 2023 (+84.1%), $333,000 in the year ended Dec 31, 2022 (-10.7%) and $373,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Amortization - Intangibles since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Docebo | 662.62 Mn | 413.56 Mn | 54.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 161,000.00 |
| Sep 30, 2025 | 179,000.00 |
| Dec 31, 2024 | 172,000.00 |
| Sep 30, 2024 | 176,000.00 |
| Dec 31, 2023 | -79,000.00 |
| Dec 31, 2022 | 81,000.00 |
| Dec 31, 2021 | 91,000.00 |
Docebo Amortization - Intangibles 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=amortization-intangibles&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "DCBO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();