Bentley Systems (BSY) Other Non-Current Liabilities (2019 - 2026)
Bentley Systems (BSY) posted Other Non-Current Liabilities of $112.74 million for Q2 2026, up 14.0% from $98.9 million a year earlier and up 7.2% from the prior quarter.
Bentley Systems (BSY) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Bentley Systems' Other Non-Current Liabilities came in at $106.83 million, up 10.5% from FY2024.
- Annual Other Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 52.5% (FY2020 to FY2025).
- In prior years, Bentley Systems' Other Non-Current Liabilities was $96.68 million in FY2024 (+9.6%), $88.18 million in FY2023 (+14.5%), $77.01 million in FY2022 (-18.8%) and $94.89 million in FY2021 (+633.3%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last 13 quarters, with growth averaging 10.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2021, with growth of 633.3%; the weakest was Q3 2022, with a decline of 20.4%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $105.21 million (Q1 2026), $106.83 million (Q4 2025) and $104.86 million (Q3 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 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.74 Mn |
| Mar 31, 2026 | 105.21 Mn |
| Dec 31, 2025 | 106.83 Mn |
| Sep 30, 2025 | 104.86 Mn |
| Jun 30, 2025 | 98.90 Mn |
| Mar 31, 2025 | 94.96 Mn |
| Dec 31, 2024 | 96.68 Mn |
| Sep 30, 2024 | 97.93 Mn |
| Jun 30, 2024 | 91.17 Mn |
| Mar 31, 2024 | 93.40 Mn |
| Dec 31, 2023 | 88.18 Mn |
| Sep 30, 2023 | 79.54 Mn |
| Jun 30, 2023 | 82.64 Mn |
| Mar 31, 2023 | 80.67 Mn |
| Dec 31, 2022 | 77.01 Mn |
| Sep 30, 2022 | 71.01 Mn |
| Jun 30, 2022 | 75.53 Mn |
| Mar 31, 2022 | 89.28 Mn |
| Dec 31, 2021 | 94.89 Mn |
| Sep 30, 2021 | 89.17 Mn |
Bentley Systems Other 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=other-non-current-liabilities&ticker=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "BSY", "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-non-current-liabilities&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();