Docebo (DCBO) Other Operating Expenses (2019 - 2026)
Docebo (DCBO) recorded Other Operating Expenses of $22.54 million in the quarter ended Jun 30, 2026, up 10.5% from $20.39 million a year earlier and up 5.8% from the prior quarter.
Docebo (DCBO) Other Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Docebo's Other Operating Expenses came in at $79.45 million as of Jun 30, 2026, up 3.3% year-over-year; for the year ended Dec 31, 2025, it was $76.35 million, up 9.8% from the prior year.
- Annual Other Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 26.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Operating Expenses came in at $69.52 million in the year ended Dec 31, 2024 (+3.4%), $67.2 million in the year ended Dec 31, 2023 (+12.7%), $59.65 million in the year ended Dec 31, 2022 (+37.6%) and $43.35 million in the year ended Dec 31, 2021 (+80.5%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Operating Expenses in data going back to the quarter ended Dec 31, 2019.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 10.0%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 519.5% in the quarter ended Dec 31, 2021, against a decline of 6.4% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.31 million (quarter ended Mar 31, 2026), $18.01 million (quarter ended Dec 31, 2025) and $17.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Docebo | 662.62 Mn | 413.56 Mn | 54.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.54 Mn |
| Mar 31, 2026 | 21.31 Mn |
| Dec 31, 2025 | 18.01 Mn |
| Sep 30, 2025 | 17.60 Mn |
| Jun 30, 2025 | 20.39 Mn |
| Mar 31, 2025 | 20.36 Mn |
| Dec 31, 2024 | 18.43 Mn |
| Sep 30, 2024 | 17.76 Mn |
| Jun 30, 2024 | 16.90 Mn |
| Mar 31, 2024 | 16.43 Mn |
| Dec 31, 2023 | 16.16 Mn |
| Sep 30, 2023 | 16.22 Mn |
| Jun 30, 2023 | 18.05 Mn |
| Mar 31, 2023 | 16.77 Mn |
| Dec 31, 2022 | 15.50 Mn |
| Sep 30, 2022 | 15.52 Mn |
| Jun 30, 2022 | 14.88 Mn |
| Mar 31, 2022 | 13.75 Mn |
| Dec 31, 2021 | 12.64 Mn |
| Sep 30, 2021 | 11.14 Mn |
Docebo Other Operating Expenses 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=other-operating-expenses&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();