Docebo (DCBO) EPS (Diluted) (2019 - 2026)
Docebo (DCBO) recorded EPS (Diluted) of $0.08 in the quarter ended Jun 30, 2026, down 22.6% from $0.10 a year earlier.
Docebo (DCBO) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a TTM basis, Docebo's EPS (Diluted) came in at $0.68 as of Jun 30, 2026, up 16.2% year-over-year; for the year ended Dec 31, 2025, it was $1.28, up 48.0% from the prior year.
- Annual EPS (Diluted) has increased for three straight years.
- Across earlier years, EPS (Diluted) came in at $0.86 in the year ended Dec 31, 2024 (+923.1%), $0.08 in the year ended Dec 31, 2023 (+25.0%), $0.07 in the year ended Dec 31, 2022 and -$0.41 in the year ended Dec 31, 2021.
- Quarterly EPS (Diluted) has ranged from -$0.21 in the quarter ended Mar 31, 2022 to $0.45 in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in four of the last seven quarters, with growth averaging 27.3%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 319.7% in the quarter ended Mar 31, 2024, against a decline of 69.0% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$0.06 (quarter ended Mar 31, 2026), $0.45 (quarter ended Dec 31, 2025) and $0.20 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 0.00 |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 1.66 |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 0.25 |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 0.03 |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | 1.37 |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 0.29 |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 1.04 |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 0.54 |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 0.28 |
| 10 | Docebo | 906.98 Mn | 681.55 Mn | 55.76 Mn | 0.32 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.32 |
| Jun 30, 2026 | 0.08 |
| Mar 31, 2026 | -0.06 |
| Dec 31, 2025 | 0.45 |
| Sep 30, 2025 | 0.20 |
| Jun 30, 2025 | 0.10 |
| Mar 31, 2025 | 0.05 |
| Dec 31, 2024 | 0.28 |
| Sep 30, 2024 | 0.15 |
| Jun 30, 2024 | 0.14 |
| Mar 31, 2024 | 0.15 |
| Dec 31, 2023 | 0.10 |
| Sep 30, 2023 | 0.12 |
| Jun 30, 2023 | 0.14 |
| Mar 31, 2023 | 0.04 |
| Dec 31, 2022 | 0.05 |
| Sep 30, 2022 | 0.31 |
| Jun 30, 2022 | 0.06 |
| Mar 31, 2022 | -0.21 |
| Dec 31, 2021 | -0.04 |
Docebo EPS (Diluted) 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=eps-diluted&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();