Sap Se (SAP) Operating Expenses (2009 - 2026)
Sap Se (SAP) posted Operating Expenses of -$8.4 billion for Q2 2026, down 5.42% on a QoQ basis from -$8.0 billion in Q1 2026, and down 13.06% year-over-year from -$9.7 billion in Q2 2025.
Sap Se (SAP) Operating Expenses (2009 - 2026) Analysis & Trends
Sap Se has reported Operating Expenses for 18 years, with the latest figure at -$8.4 billion in Q2 2026.
- On a quarterly basis, Operating Expenses fell 13.06% year-over-year to -$8.4 billion in Q2 2026; TTM through Jun 2026 was -$32.4 billion, a 10.92% decrease from a year earlier, with the FY2025 full-year figure at -$30.7 billion, up 3.85% from the prior year.
- Operating Expenses was -$8.4 billion for Q2 2026 at Sap Se, down from -$8.0 billion in the prior quarter.
- The five-year high for Operating Expenses was -$6.0 billion in Q1 2022, with the low at -$9.6 billion in Q1 2024.
- Average Operating Expenses over 5 years is -$7.3 billion, with a median of -$7.1 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Operating Expenses jumped 76.69% in 2022, then plunged 34.63% in 2024.
- Over 5 years, Operating Expenses stood at -$6.2 billion in 2022, then decreased by 14.25% to -$7.1 billion in 2023, then fell by 11.34% to -$7.9 billion in 2024, then declined by 5.51% to -$8.3 billion in 2025, then decreased by 1.33% to -$8.4 billion in 2026.
- The last three Operating Expenses figures came in at -$8.4 billion (Q2 2026), -$8.0 billion (Q1 2026), and -$8.3 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 3.88 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 2.34 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.41 Bn |
| Mar 31, 2026 | -7.98 Bn |
| Dec 31, 2025 | -8.30 Bn |
| Sep 30, 2025 | -7.70 Bn |
| Jun 30, 2025 | -7.44 Bn |
| Mar 31, 2025 | -7.03 Bn |
| Dec 31, 2024 | -7.87 Bn |
| Sep 30, 2024 | -6.87 Bn |
| Jun 30, 2024 | -7.61 Bn |
| Mar 31, 2024 | -9.59 Bn |
| Dec 31, 2023 | -7.06 Bn |
| Sep 30, 2023 | -6.56 Bn |
| Jun 30, 2023 | -6.73 Bn |
| Mar 31, 2023 | -7.12 Bn |
| Dec 31, 2022 | -6.18 Bn |
| Sep 30, 2022 | -5.97 Bn |
| Jun 30, 2022 | -6.56 Bn |
| Mar 31, 2022 | -5.95 Bn |
| Dec 31, 2021 | -26.52 Bn |
| Sep 30, 2021 | -6.60 Bn |
Sap Se 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=SAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SAP", "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=SAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();