Bentley Systems (BSY) Long-Term Debt Repayments (2019 - 2026)
Bentley Systems (BSY) recorded Long-Term Debt Repayments of $291.23 million in Q2 2026, up 155.8% from $113.84 million a year earlier but down 57.0% from the prior quarter.
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Analysis
Bentley Systems (BSY) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Bentley Systems' Long-Term Debt Repayments came in at $1.02 billion as of Jun 30, 2026, up 45.7% year-over-year; for FY2025, it was $424.88 million, down 10.4% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $474.36 million in FY2024 (-43.6%), $841.72 million in FY2023 (+72.6%), $487.69 million in FY2022 (-50.8%) and $991.31 million in FY2021 (+84.0%).
- Quarterly Long-Term Debt Repayments has ranged from $11.89 million in Q2 2024 to $677.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last eight quarters, with growth averaging 134.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 857.8% in Q2 2025, against a decline of 94.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $677.83 million (Q1 2026), $30.82 million (Q4 2025) and $22.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 582.50 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 | 291.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 291.23 Mn |
| Mar 31, 2026 | 677.83 Mn |
| Dec 31, 2025 | 30.82 Mn |
| Sep 30, 2025 | 22.66 Mn |
| Jun 30, 2025 | 113.84 Mn |
| Mar 31, 2025 | 257.57 Mn |
| Dec 31, 2024 | 266.75 Mn |
| Sep 30, 2024 | 63.86 Mn |
| Jun 30, 2024 | 11.89 Mn |
| Mar 31, 2024 | 131.87 Mn |
| Dec 31, 2023 | 207.01 Mn |
| Sep 30, 2023 | 201.98 Mn |
| Jun 30, 2023 | 209.62 Mn |
| Mar 31, 2023 | 223.12 Mn |
| Dec 31, 2022 | 78.98 Mn |
| Sep 30, 2022 | 144.61 Mn |
| Jun 30, 2022 | 140.41 Mn |
| Mar 31, 2022 | 123.70 Mn |
| Dec 31, 2021 | 131.08 Mn |
| Sep 30, 2021 | 69.38 Mn |
API Access
Bentley Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();