Docebo (DCBO) Enterprise Value (2020 - 2026)
Docebo (DCBO) recorded Enterprise Value of $468.86 million in the quarter ended Jun 30, 2026, down 42.2% from $811.03 million a year earlier but up 6.8% from the prior quarter.
Docebo (DCBO) Enterprise Value (2020 - 2026) Analysis & Trends
On a TTM basis, Docebo's Enterprise Value came in at $265.51 million as of Jun 30, 2026, down 51.2% year-over-year; for the year ended Dec 31, 2025, it came in at $564.15 million, down 55.3% from the prior year.
- Annual Enterprise Value has a five-year compound annual growth rate of -21.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $1.26 billion in the year ended Dec 31, 2024 (-9.5%), $1.39 billion in the year ended Dec 31, 2023 (+59.4%), $874.48 million in the year ended Dec 31, 2022 (-56.2%) and $2 billion in the year ended Dec 31, 2021 (+4.9%).
- Quarterly Enterprise Value has ranged from $439.03 million in the quarter ended Mar 31, 2026 to $2.16 billion in the quarter ended Sep 30, 2021 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for seven consecutive quarters, with an average decline of 31.5% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 72.4% in the quarter ended Sep 30, 2023, against a decline of 68.8% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $439.03 million (quarter ended Mar 31, 2026), $564.15 million (quarter ended Dec 31, 2025) and $760.77 million (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 | 468.86 Mn |
| Mar 31, 2026 | 439.03 Mn |
| Dec 31, 2025 | 564.15 Mn |
| Sep 30, 2025 | 760.77 Mn |
| Jun 30, 2025 | 811.03 Mn |
| Mar 31, 2025 | 776.77 Mn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.39 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 874.48 Mn |
| Sep 30, 2022 | 674.73 Mn |
| Jun 30, 2022 | 729.67 Mn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 2.00 Bn |
| Sep 30, 2021 | 2.16 Bn |
Docebo Enterprise Value 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=enterprise-value&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();