Docebo (DCBO) EBIT (2019 - 2026)
Docebo (DCBO) reported EBIT of $2.58 million for the quarter ended Jun 30, 2026, down 37.7% from $4.14 million a year earlier.
Docebo (DCBO) EBIT (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Docebo's EBIT came in at $18.48 million, up 0.5% year-over-year; for the year ended Dec 31, 2025, it was $23.24 million, up 9.1% from the prior year.
- By year, EBIT came in at $21.29 million in the year ended Dec 31, 2024, -$3.71 million in the year ended Dec 31, 2023, $4.19 million in the year ended Dec 31, 2022 and -$13.45 million in the year ended Dec 31, 2021.
- Five-year quarterly EBIT spans a low of -$13.45 million in the quarter ended Dec 31, 2021 and a high of $9.34 million in the quarter ended Dec 31, 2025.
- Year over year, EBIT gained in three of the last six quarters, with growth averaging 6.0%.
- The high point for year-over-year EBIT in five years was the quarter ended Sep 30, 2022 (growth of 516.3%); the low point was the quarter ended Sep 30, 2023 (a decline of 65.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.49 million (quarter ended Mar 31, 2026), $9.34 million (quarter ended Dec 31, 2025) and $8.05 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 142.00 Mn |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 4.88 Mn |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | - |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 165.00 Mn |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 81.00 Mn |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 24.20 Mn |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 122.62 Mn |
| 10 | Docebo | 906.98 Mn | 681.55 Mn | 55.76 Mn | 11.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.29 Mn |
| Jun 30, 2026 | 2.58 Mn |
| Mar 31, 2026 | -1.49 Mn |
| Dec 31, 2025 | 9.34 Mn |
| Sep 30, 2025 | 8.05 Mn |
| Jun 30, 2025 | 4.14 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 7.83 Mn |
| Sep 30, 2024 | 4.72 Mn |
| Jun 30, 2024 | 4.52 Mn |
| Mar 31, 2024 | 4.23 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 3.11 Mn |
| Jun 30, 2023 | -7.52 Mn |
| Mar 31, 2023 | -376,000.00 |
| Dec 31, 2022 | -75,000.00 |
| Sep 30, 2022 | 9.02 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | -6.87 Mn |
| Dec 31, 2021 | -2.95 Mn |
Docebo EBIT 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=ebit&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();