Docebo (DCBO) Restructuring Costs (2019 - 2025)
Docebo (DCBO) posted Restructuring Costs of $77,000 for the quarter ended Dec 31, 2025, down 86.5% from the prior quarter.
Powered by 
Analysis
Docebo (DCBO) Restructuring Costs (2019 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Docebo's Restructuring Costs came in at $5.19 million.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 65.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Docebo's Restructuring Costs was $2.85 million in the year ended Dec 31, 2023, $101,000 in the year ended Dec 31, 2022 (-68.3%) and $319,000 in the year ended Dec 31, 2021 (-23.3%).
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Restructuring Costs since the quarter ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.69 Bn | 23.93 Bn | 695.95 Mn |
| 3 | Samsara | 25.43 Bn | 22.20 Bn | 392.58 Mn |
| 4 | Ptc | 22.21 Bn | 21.02 Bn | 490.47 Mn |
| 5 | Toast | 18.99 Bn | 11.66 Bn | 516.00 Mn |
| 6 | Trimble | 14.57 Bn | 13.63 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.84 Bn | 12.84 Bn | 168.33 Mn |
| 8 | Costar | 13.29 Bn | 7.24 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.97 Bn | 11.43 Bn | 336.74 Mn |
| 10 | Docebo | 884.80 Mn | 635.73 Mn | 54.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 77,000.00 |
| Sep 30, 2025 | 571,000.00 |
| Jun 30, 2025 | 468,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 1.01 Mn |
| Jun 30, 2024 | 994,000.00 |
| Dec 31, 2023 | 231,000.00 |
| Jun 30, 2023 | 2.78 Mn |
| Dec 31, 2022 | 80,000.00 |
| Dec 31, 2021 | 102,000.00 |
| Dec 31, 2020 | 416,000.00 |
| Dec 31, 2019 | 705,000.00 |
API Access
Docebo Restructuring Costs 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=restructuring-costs&ticker=DCBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();