Bentley Systems (BSY) Total Non-Current Liabilities (2019 - 2026)
Bentley Systems (BSY) posted Total Non-Current Liabilities of $2.27 billion for Q2 2026, up 4.9% from $2.16 billion a year earlier and up 3.4% from the prior quarter.
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Analysis
Bentley Systems (BSY) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Bentley Systems' Total Non-Current Liabilities came in at $2.26 billion, down 0.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In prior years, Bentley Systems' Total Non-Current Liabilities was $2.26 billion in FY2024 (-3.6%), $2.35 billion in FY2023 (-6.6%), $2.51 billion in FY2022 (+16.7%) and $2.16 billion in FY2021 (+179.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 1.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 179.3%; the weakest was Q2 2024, with a decline of 10.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $2.19 billion (Q1 2026), $2.26 billion (Q4 2025) and $2.16 billion (Q3 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 | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Bentley Systems | 9.39 Bn | 8.85 Bn | 336.74 Mn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Bn |
| Mar 31, 2026 | 2.19 Bn |
| Dec 31, 2025 | 2.26 Bn |
| Sep 30, 2025 | 2.16 Bn |
| Jun 30, 2025 | 2.16 Bn |
| Mar 31, 2025 | 2.21 Bn |
| Dec 31, 2024 | 2.26 Bn |
| Sep 30, 2024 | 2.26 Bn |
| Jun 30, 2024 | 2.18 Bn |
| Mar 31, 2024 | 2.33 Bn |
| Dec 31, 2023 | 2.35 Bn |
| Sep 30, 2023 | 2.36 Bn |
| Jun 30, 2023 | 2.44 Bn |
| Mar 31, 2023 | 2.49 Bn |
| Dec 31, 2022 | 2.51 Bn |
| Sep 30, 2022 | 2.45 Bn |
| Jun 30, 2022 | 2.53 Bn |
| Mar 31, 2022 | 2.61 Bn |
| Dec 31, 2021 | 2.16 Bn |
| Sep 30, 2021 | 1.98 Bn |
API Access
Bentley Systems 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=BSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();