Docebo (DCBO) EV to EBITDA (2022 - 2026)
Docebo's (DCBO) EV to EBITDA came in at 19.15 for the quarter ended Jun 30, 2026, down 48.6% from 37.24 a year earlier but up 7.7% from the prior quarter.
Docebo (DCBO) EV to EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Docebo was 10.85, down 56.6% year-over-year; for the year ended Dec 31, 2025, it came in at 21.35, down 58.3% from the prior year.
- In prior years, Docebo's EV to EBITDA was 51.14 in the year ended Dec 31, 2024 and 134.16 in the year ended Dec 31, 2022.
- Quarterly EV to EBITDA has run from a low of 17.79 in the quarter ended Mar 31, 2026 to a high of 291.93 in the quarter ended Jun 30, 2023 over five years.
- On a year-over-year basis, EV to EBITDA has declined in each of the last five quarters, with an average decline of 57.4% over the last five quarters.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 17.79 (quarter ended Mar 31, 2026), 21.08 (quarter ended Dec 31, 2025) and 30.25 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Docebo | 656.59 Mn | 407.52 Mn | 54.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.15 |
| Mar 31, 2026 | 17.79 |
| Dec 31, 2025 | 21.08 |
| Sep 30, 2025 | 30.25 |
| Jun 30, 2025 | 37.24 |
| Mar 31, 2025 | 35.09 |
| Dec 31, 2024 | 51.14 |
| Sep 30, 2024 | 98.01 |
| Jun 30, 2024 | 95.48 |
| Jun 30, 2023 | 291.93 |
| Mar 31, 2023 | 85.63 |
| Dec 31, 2022 | 134.16 |
Docebo EV to EBITDA 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=ev-to-ebitda&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();