Docebo (DCBO) Total Non-Current Liabilities (2019 - 2026)
Docebo (DCBO) recorded Total Non-Current Liabilities of $239.7 million in the quarter ended Jun 30, 2026, down 4.0% from the prior quarter.
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Analysis
Docebo (DCBO) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Docebo reported Total Non-Current Liabilities of $8.76 million, up 101.3% from the prior year.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 1.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Non-Current Liabilities came in at $4.35 million in the year ended Dec 31, 2024 (-37.9%), $7 million in the year ended Dec 31, 2023 (-1.3%), $7.1 million in the year ended Dec 31, 2022 (-14.4%) and $8.29 million in the year ended Dec 31, 2021 (+1.0%).
- Quarterly Total Non-Current Liabilities has ranged from $4.12 million in the quarter ended Jun 30, 2024 to $249.57 million in the quarter ended Mar 31, 2026 over the past five years.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 956.3% in the quarter ended Jun 30, 2022, against a decline of 97.1% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $249.57 million (quarter ended Mar 31, 2026), $8.76 million (quarter ended Dec 31, 2025) and $6.92 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.37 Bn | 21.62 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 24.36 Bn | 21.13 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.47 Bn | 21.29 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 19.58 Bn | 12.22 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.60 Bn | 13.66 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 13.85 Bn | 13.33 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.59 Bn | 11.68 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.16 Bn | 7.54 Bn | 741.00 Mn | 2.24 Bn |
| 10 | Docebo | 910.48 Mn | 662.97 Mn | 54.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 239.70 Mn |
| Mar 31, 2026 | 249.57 Mn |
| Dec 31, 2025 | 8.76 Mn |
| Sep 30, 2025 | 6.92 Mn |
| Dec 31, 2024 | 4.35 Mn |
| Jun 30, 2024 | 4.12 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 117.32 Mn |
| Jun 30, 2023 | 143.29 Mn |
| Mar 31, 2023 | 98.83 Mn |
| Dec 31, 2022 | 7.10 Mn |
| Sep 30, 2022 | 81.01 Mn |
| Jun 30, 2022 | 82.07 Mn |
| Mar 31, 2022 | 84.73 Mn |
| Dec 31, 2021 | 8.29 Mn |
| Sep 30, 2021 | 8.41 Mn |
| Jun 30, 2021 | 7.77 Mn |
| Mar 31, 2021 | 7.70 Mn |
| Dec 31, 2020 | 8.21 Mn |
| Dec 31, 2019 | 3.94 Mn |
API Access
Docebo Total Non-Current 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-non-current-liabilities&ticker=DCBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DCBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();