Sap Se (SAP) Operating Leases (2019 - 2025)
Sap Se (SAP) reported Operating Leases of $429.53 million for the quarter ended Dec 31, 2025, up 7.5% from $399.65 million a year earlier.
Analysis
Sap Se (SAP) Operating Leases (2019 - 2025) Analysis & Trends
As of Dec 31, 2025, Sap Se posted Operating Leases of $416.9 million, up 3.0% from the prior year.
- Operating Leases has a five-year compound annual growth rate of -26.8% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $404.79 million in the year ended Dec 31, 2024 (-0.7%), $407.78 million in the year ended Dec 31, 2023 (-20.5%), $513.18 million in the year ended Dec 31, 2022 (-8.1%) and $558.56 million in the year ended Dec 31, 2021 (-71.9%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Operating Leases since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 429.53 Mn |
| Dec 31, 2024 | 399.65 Mn |
| Dec 31, 2023 | 407.78 Mn |
| Dec 31, 2022 | 513.18 Mn |
| Dec 31, 2021 | 539.95 Mn |
| Dec 31, 2020 | 2.07 Bn |
| Dec 31, 2019 | 2.01 Bn |
| Jun 30, 2019 | 1.94 Bn |
API Access
Sap Se Operating Leases 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-leases&ticker=SAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();