Bentley Systems (BSY) Operating Expenses (2019 - 2026)
Bentley Systems' (BSY) quarterly Operating Expenses came in at $248.1 million in Q2 2026, up 17.65% year-over-year from $210.9 million in Q2 2025, and up 10.7% quarter-over-quarter from $224.1 million in Q1 2026.
Bentley Systems (BSY) Operating Expenses (2019 - 2026) Analysis & Trends
Bentley Systems (BSY) has reported Operating Expenses for 8 consecutive years, with $248.1 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 17.65% year-over-year to $248.1 million in Q2 2026; TTM through Jun 2026 was $933.3 million, a 13.43% increase from a year earlier, with the FY2025 full-year figure at $861.6 million, up 8.63% from the prior year.
- Operating Expenses was $248.1 million for Q2 2026 at Bentley Systems, up from $224.1 million in the prior quarter.
- Over five years, Operating Expenses peaked at $248.1 million in Q2 2026 and troughed at $152.9 million in Q2 2022.
- A 5-year average of $195.1 million and a median of $188.3 million in 2024 frame the typical range for Operating Expenses.
- The widest YoY moves for Operating Expenses: up 39.35% in 2022, down 34.55% in 2022.
- Over 5 years, Operating Expenses stood at $183.8 million in 2022, then climbed by 11.55% to $205.1 million in 2023, then advanced by 7.52% to $220.5 million in 2024, then advanced by 9.83% to $242.2 million in 2025, then rose by 2.46% to $248.1 million in 2026.
- The last three Operating Expenses figures came in at $248.1 million (Q2 2026), $224.1 million (Q1 2026), and $242.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 420.93 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 387.71 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 364.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 542.90 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 182.80 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 295.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.13 Mn |
| Mar 31, 2026 | 224.15 Mn |
| Dec 31, 2025 | 242.17 Mn |
| Sep 30, 2025 | 218.86 Mn |
| Jun 30, 2025 | 210.90 Mn |
| Mar 31, 2025 | 189.70 Mn |
| Dec 31, 2024 | 220.50 Mn |
| Sep 30, 2024 | 201.71 Mn |
| Jun 30, 2024 | 186.97 Mn |
| Mar 31, 2024 | 184.00 Mn |
| Dec 31, 2023 | 205.07 Mn |
| Sep 30, 2023 | 168.26 Mn |
| Jun 30, 2023 | 177.02 Mn |
| Mar 31, 2023 | 181.44 Mn |
| Dec 31, 2022 | 183.84 Mn |
| Sep 30, 2022 | 153.61 Mn |
| Jun 30, 2022 | 152.87 Mn |
| Mar 31, 2022 | 163.14 Mn |
| Dec 31, 2021 | 164.90 Mn |
| Sep 30, 2021 | 234.70 Mn |
Bentley Systems Operating Expenses 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=operating-expenses&ticker=BSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();