Bentley Systems (BSY) Selling, General & Administrative (2019 - 2026)
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Analysis
Bentley Systems (BSY) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 59.97 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 98.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 29.26 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 61.50 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 124.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 138.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 72.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.50 Mn |
| Jun 30, 2026 | 65.22 Mn |
| Mar 31, 2026 | 58.51 Mn |
| Dec 31, 2025 | 66.43 Mn |
| Sep 30, 2025 | 53.82 Mn |
| Jun 30, 2025 | 49.86 Mn |
| Mar 31, 2025 | 47.23 Mn |
| Dec 31, 2024 | 57.68 Mn |
| Sep 30, 2024 | 51.36 Mn |
| Jun 30, 2024 | 54.85 Mn |
| Mar 31, 2024 | 46.48 Mn |
| Dec 31, 2023 | 52.00 Mn |
| Sep 30, 2023 | 42.68 Mn |
| Jun 30, 2023 | 39.26 Mn |
| Mar 31, 2023 | 46.81 Mn |
| Dec 31, 2022 | 45.67 Mn |
| Sep 30, 2022 | 37.79 Mn |
| Jun 30, 2022 | 40.03 Mn |
| Mar 31, 2022 | 51.15 Mn |
| Dec 31, 2021 | 39.88 Mn |
API Access
Bentley Systems Selling, General & Administrative 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=selling-general-and-administrative&ticker=BSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();