Docebo (DCBO) Cash & Equivalents (2019 - 2026)
Docebo (DCBO) posted Cash & Equivalents of $45.72 million for the quarter ended Jun 30, 2026, down 29.2% from $64.58 million a year earlier and down 27.7% from the prior quarter.
Docebo (DCBO) Cash & Equivalents (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo's Cash & Equivalents came in at $74.04 million, down 20.0% from the prior year.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -19.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Docebo's Cash & Equivalents was $92.54 million in the year ended Dec 31, 2024 (+28.6%), $71.95 million in the year ended Dec 31, 2023 (-66.7%), $216.29 million in the year ended Dec 31, 2022 (+0.5%) and $215.32 million in the year ended Dec 31, 2021 (-2.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Cash & Equivalents in data going back to the quarter ended Dec 31, 2019.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last five quarters, with an average decline of 16.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was the quarter ended Dec 31, 2024, with growth of 28.6%; the weakest was the quarter ended Dec 31, 2023, with a decline of 66.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $63.19 million (quarter ended Mar 31, 2026), $74.04 million (quarter ended Dec 31, 2025) and $66.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Docebo | 670.67 Mn | 421.61 Mn | 54.53 Mn | 45.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.72 Mn |
| Mar 31, 2026 | 63.19 Mn |
| Dec 31, 2025 | 74.04 Mn |
| Sep 30, 2025 | 66.13 Mn |
| Jun 30, 2025 | 64.58 Mn |
| Mar 31, 2025 | 91.87 Mn |
| Dec 31, 2024 | 92.54 Mn |
| Sep 30, 2024 | 82.03 Mn |
| Jun 30, 2024 | 82.08 Mn |
| Mar 31, 2024 | 80.65 Mn |
| Dec 31, 2023 | 71.95 Mn |
| Sep 30, 2023 | 170.65 Mn |
| Jun 30, 2023 | 203.92 Mn |
| Mar 31, 2023 | 215.83 Mn |
| Dec 31, 2022 | 216.29 Mn |
| Sep 30, 2022 | 212.73 Mn |
| Jun 30, 2022 | 212.34 Mn |
| Mar 31, 2022 | 211.98 Mn |
| Dec 31, 2021 | 215.32 Mn |
| Sep 30, 2021 | 215.51 Mn |
Docebo Cash & Equivalents 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=cash-and-equivalents&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();