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 | 49.47 Bn | 21.72 Bn | 695.95 Mn |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn |
| 10 | Docebo | 906.98 Mn | 681.55 Mn | 55.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 161,000.00 |
| Sep 30, 2025 | 179,000.00 |
| Jun 30, 2025 | 178,000.00 |
| Dec 31, 2024 | 172,000.00 |
| Sep 30, 2024 | 176,000.00 |
| Jun 30, 2024 | 172,000.00 |
| Dec 31, 2023 | -79,000.00 |
| Jun 30, 2023 | 226,000.00 |
| 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();