Docebo (DCBO) Non-Current Assets (2019 - 2026)
Docebo (DCBO) recorded Non-Current Assets of $5.62 million in the quarter ended Jun 30, 2026, up 391.6% from $1.14 million a year earlier and up 23.9% from the prior quarter.
Docebo (DCBO) Non-Current Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo reported Non-Current Assets of $2.39 million, up 111.1% from the prior year.
- Annual Non-Current Assets has a five-year compound annual growth rate of -3.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Non-Current Assets came in at $1.13 million in the year ended Dec 31, 2024 (-15.7%), $1.34 million in the year ended Dec 31, 2023 (-34.2%), $2.04 million in the year ended Dec 31, 2022 (-33.4%) and $3.06 million in the year ended Dec 31, 2021 (+9.3%).
- Quarterly Non-Current Assets has ranged from $798,000 in the quarter ended Mar 31, 2025 to $173.09 million in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 124.6% over the last seven quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 468.2% in the quarter ended Mar 31, 2026, against a decline of 50.9% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.53 million (quarter ended Mar 31, 2026), $2.39 million (quarter ended Dec 31, 2025) and $173.09 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Docebo | 656.59 Mn | 407.52 Mn | 54.53 Mn | 5.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 4.53 Mn |
| Dec 31, 2025 | 2.39 Mn |
| Sep 30, 2025 | 173.09 Mn |
| Jun 30, 2025 | 1.14 Mn |
| Mar 31, 2025 | 798,000.00 |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 1.65 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.34 Mn |
| Sep 30, 2023 | 1.56 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 2.08 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 2.05 Mn |
| Jun 30, 2022 | 2.41 Mn |
| Mar 31, 2022 | 2.92 Mn |
| Dec 31, 2021 | 3.06 Mn |
| Sep 30, 2021 | 3.32 Mn |
Docebo Non-Current 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=non-current-assets&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();