Docebo (DCBO) Property, Plant & Equipment (Net) (2019 - 2026)
Docebo (DCBO) recorded Property, Plant & Equipment (Net) of $1.88 million in the quarter ended Jun 30, 2026, down 14.3% from $2.19 million a year earlier and down 2.3% from the prior quarter.
Docebo (DCBO) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo reported Property, Plant & Equipment (Net) of $2.05 million, up 2.1% from the prior year.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -2.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $2 million in the year ended Dec 31, 2024 (-5.0%), $2.11 million in the year ended Dec 31, 2023 (-19.7%), $2.62 million in the year ended Dec 31, 2022 (-0.8%) and $2.65 million in the year ended Dec 31, 2021 (+15.5%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Property, Plant & Equipment (Net) since the quarter ended Dec 31, 2019.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last seven quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 19.2% in the quarter ended Mar 31, 2022, against a decline of 20.7% in the quarter ended Mar 31, 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Docebo | 670.67 Mn | 421.61 Mn | 54.53 Mn | 1.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Mn |
| Mar 31, 2026 | 1.92 Mn |
| Dec 31, 2025 | 2.05 Mn |
| Jun 30, 2025 | 2.19 Mn |
| Mar 31, 2025 | 2.07 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.96 Mn |
| Dec 31, 2023 | 2.11 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 2.47 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Sep 30, 2022 | 2.54 Mn |
| Jun 30, 2022 | 2.54 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 2.65 Mn |
| Sep 30, 2021 | 2.74 Mn |
| Jun 30, 2021 | 2.32 Mn |
Docebo Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();