Roper Technologies (ROP) Operating Expenses (2009 - 2026)
Roper Technologies (ROP) reported Operating Expenses of $885.5 million for Q2 2026, up 11.1% from $797.1 million a year earlier and up 0.1% from the prior quarter.
Roper Technologies (ROP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Roper Technologies' Operating Expenses came in at $3.44 billion, up 12.9% year-over-year; for FY2025, it was $3.24 billion, up 12.3% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.88 billion in FY2024 (+12.5%), $2.56 billion in FY2023 (+15.0%), $2.23 billion in FY2022 (+7.5%) and $2.07 billion in FY2021 (+18.7%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2009.
- Year over year, Operating Expenses has now increased in each of the last 17 quarters, with growth averaging 12.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 71.7%); the low point was Q1 2022 (a decline of 3.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $884.2 million (Q1 2026), $841.6 million (Q4 2025) and $830 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 12.62 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Roper Technologies | 38.43 Bn | 37.06 Bn | 1.47 Bn | 885.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 885.50 Mn |
| Mar 31, 2026 | 884.20 Mn |
| Dec 31, 2025 | 841.60 Mn |
| Sep 30, 2025 | 830.00 Mn |
| Jun 30, 2025 | 797.10 Mn |
| Mar 31, 2025 | 767.90 Mn |
| Dec 31, 2024 | 757.60 Mn |
| Sep 30, 2024 | 725.10 Mn |
| Jun 30, 2024 | 699.10 Mn |
| Mar 31, 2024 | 699.70 Mn |
| Dec 31, 2023 | 662.40 Mn |
| Sep 30, 2023 | 650.20 Mn |
| Jun 30, 2023 | 631.80 Mn |
| Mar 31, 2023 | 617.60 Mn |
| Dec 31, 2022 | 589.80 Mn |
| Sep 30, 2022 | 548.60 Mn |
| Jun 30, 2022 | 548.60 Mn |
| Mar 31, 2022 | 541.30 Mn |
| Dec 31, 2021 | 525.50 Mn |
| Sep 30, 2021 | 524.80 Mn |
Roper Technologies 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=ROP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ROP", "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=ROP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();