Bentley Systems (BSY) Income Taxes Paid (2019 - 2026)
Bentley Systems (BSY) posted Income Taxes Paid of $21.68 million for Q2 2026, down 5.9% from $23.04 million a year earlier but up 221.9% from the prior quarter.
Bentley Systems (BSY) Income Taxes Paid (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at Bentley Systems was $58.43 million, down 13.8% year-over-year; for FY2025, it came in at $61.49 million, up 2.9% from FY2024.
- Annual Income Taxes Paid has increased for three consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In prior years, Bentley Systems' Income Taxes Paid was $59.75 million in FY2024 (+37.0%), $43.62 million in FY2023 (+48.0%), $29.48 million in FY2022 (-26.7%) and $40.2 million in FY2021 (+38.7%).
- Quarterly Income Taxes Paid has run from a low of $4.84 million in Q2 2022 to a high of $25.8 million in Q4 2024 over five years.
- On a year-over-year basis, Income Taxes Paid has declined in each of the last four quarters, with growth averaging 7.6% over the last eight quarters.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q2 2023, with growth of 149.2%; the weakest was Q2 2022, with a decline of 76.8%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $6.74 million (Q1 2026), $25.11 million (Q4 2025) and $4.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 144.34 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.85 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | - |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | - |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | - |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 9.10 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 19.60 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 7.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.10 Mn |
| Jun 30, 2026 | 21.68 Mn |
| Mar 31, 2026 | 6.74 Mn |
| Dec 31, 2025 | 25.11 Mn |
| Sep 30, 2025 | 4.91 Mn |
| Jun 30, 2025 | 23.04 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 25.80 Mn |
| Sep 30, 2024 | 10.48 Mn |
| Jun 30, 2024 | 11.75 Mn |
| Mar 31, 2024 | 11.72 Mn |
| Dec 31, 2023 | 14.15 Mn |
| Sep 30, 2023 | 11.30 Mn |
| Jun 30, 2023 | 12.06 Mn |
| Mar 31, 2023 | 6.10 Mn |
| Dec 31, 2022 | 8.78 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 4.84 Mn |
| Mar 31, 2022 | 6.77 Mn |
| Dec 31, 2021 | 7.84 Mn |
Bentley Systems Income Taxes Paid 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=income-taxes-paid&ticker=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();