Docebo (DCBO) Assets (2019 - 2026)
Docebo's Assets came in at $242.72 million for the quarter ended Jun 30, 2026, down 99.8% from $136.04 billion a year earlier and down 4.3% from the prior quarter.
Docebo (DCBO) Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo's Assets was $206.65 million, up 8.4% from the prior year.
- Assets carries a five-year compound annual growth rate of -4.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Assets was $190.71 million in the year ended Dec 31, 2024 (+20.4%), $158.38 million in the year ended Dec 31, 2023 (-44.2%), $283.67 million in the year ended Dec 31, 2022 (+5.8%) and $268.22 million in the year ended Dec 31, 2021 (+5.5%).
- The five-year range for quarterly Assets is $158.38 million (the quarter ended Dec 31, 2023) to $136.04 billion (the quarter ended Jun 30, 2025).
- Year-over-year, Assets increased in four of the last seven quarters, with an average decline of 8.7%.
- The fastest year-over-year change in Assets over five years came in the quarter ended Mar 31, 2026 (growth of 28.3%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 99.8%).
- Business Quant data shows DCBO's Assets at $253.55 million (quarter ended Mar 31, 2026), $206.65 million (quarter ended Dec 31, 2025) and $173.23 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | Docebo | 656.59 Mn | 407.52 Mn | 54.53 Mn | 242.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.72 Mn |
| Mar 31, 2026 | 253.55 Mn |
| Dec 31, 2025 | 206.65 Mn |
| Sep 30, 2025 | 173.23 Mn |
| Jun 30, 2025 | 136.04 Bn |
| Mar 31, 2025 | 197.67 Mn |
| Dec 31, 2024 | 190.71 Mn |
| Sep 30, 2024 | 174.14 Mn |
| Jun 30, 2024 | 173.71 Mn |
| Mar 31, 2024 | 173.08 Mn |
| Dec 31, 2023 | 158.38 Mn |
| Sep 30, 2023 | 254.18 Mn |
| Jun 30, 2023 | 288.96 Mn |
| Mar 31, 2023 | 295.15 Mn |
| Dec 31, 2022 | 283.67 Mn |
| Sep 30, 2022 | 270.67 Mn |
| Jun 30, 2022 | 270.78 Mn |
| Mar 31, 2022 | 273.52 Mn |
| Dec 31, 2021 | 268.22 Mn |
| Sep 30, 2021 | 259.54 Mn |
Docebo Assets 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=assets&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();