Docebo (DCBO) Total Liabilities (2019 - 2026)
Docebo (DCBO) posted Total Liabilities of $243.02 million for the quarter ended Jun 30, 2026, down 99.8% from $136 billion a year earlier and down 4.4% from the prior quarter.
Docebo (DCBO) Total Liabilities (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo's Total Liabilities came in at $132.56 million, down 22.6% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of 19.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Docebo's Total Liabilities was $171.23 million in the year ended Dec 31, 2024 (+59.1%), $107.65 million in the year ended Dec 31, 2023 (+17.7%), $91.46 million in the year ended Dec 31, 2022 (+17.9%) and $77.57 million in the year ended Dec 31, 2021 (+43.8%).
- Quarterly Total Liabilities has run from a low of -$8.34 billion in the quarter ended Jun 30, 2024 to a high of $136 billion in the quarter ended Jun 30, 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last seven quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Mar 31, 2026, with growth of 75.0%; the weakest was the quarter ended Jun 30, 2026, with a decline of 99.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $254.17 million (quarter ended Mar 31, 2026), $132.56 million (quarter ended Dec 31, 2025) and $167.67 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 51.62 Bn | 23.87 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 24.09 Bn | 20.86 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.14 Bn | 20.96 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 18.70 Bn | 11.37 Bn | 516.00 Mn | 1.14 Bn |
| 6 | Trimble | 14.15 Bn | 13.22 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Manhattan Associates | 13.43 Bn | 12.42 Bn | 168.33 Mn | 541.14 Mn |
| 8 | Costar | 13.40 Bn | 7.35 Bn | 728.00 Mn | 2.19 Bn |
| 9 | Bentley Systems | 11.70 Bn | 11.16 Bn | 336.74 Mn | 2.38 Bn |
| 10 | Docebo | 817.94 Mn | 568.87 Mn | 54.53 Mn | 243.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 243.02 Mn |
| Mar 31, 2026 | 254.17 Mn |
| Dec 31, 2025 | 132.56 Mn |
| Sep 30, 2025 | 167.67 Mn |
| Mar 31, 2025 | 145.24 Mn |
| Dec 31, 2024 | 171.23 Mn |
| Sep 30, 2024 | 164.25 Mn |
| Jun 30, 2024 | -8.34 Bn |
| Mar 31, 2024 | 113.43 Mn |
| Dec 31, 2023 | 107.65 Mn |
| Sep 30, 2023 | 118.48 Mn |
| Jun 30, 2023 | 144.43 Mn |
| Mar 31, 2023 | 99.91 Mn |
| Dec 31, 2022 | 91.46 Mn |
| Sep 30, 2022 | 82.18 Mn |
| Jun 30, 2022 | 83.24 Mn |
| Mar 31, 2022 | 85.19 Mn |
| Dec 31, 2021 | 77.57 Mn |
| Sep 30, 2021 | 68.54 Mn |
| Jun 30, 2021 | 63.55 Mn |
Docebo Total Liabilities 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=total-liabilities&ticker=DCBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();