Sap Se (SAP) Change in Property, Plant and Equipment (2009 - 2026)
Sap Se's Change in Property, Plant and Equipment was -$662.65 million in Q3 2026, compared with -$509.71 million a year earlier.
Sap Se (SAP) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sap Se's Change in Property, Plant and Equipment was -$904.35 million through Sep 30, 2026; for FY2025, it was -$698.22 million.
- In earlier years, Change in Property, Plant and Equipment was -$730.58 million in FY2024, -$742.06 million in FY2023, -$824.19 million in FY2022 and -$724.24 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has moved between -$1.56 billion (Q4 2022) and $316.1 million (Q1 2026) over five years.
- Compared with a year earlier, Change in Property, Plant and Equipment was higher in two of the last four quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Change in Property, Plant and Equipment over five years was Q1 2026 (growth of 45.9%); the worst was Q2 2026 (a decline of 37.9%).
- Per Business Quant data, SAP's Change in Property, Plant and Equipment in the three quarters before Q3 2026 was $161.57 million (Q2 2026), $316.1 million (Q1 2026) and -$719.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | -8.01 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -28.50 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 226.63 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | -171.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -52.70 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | -91.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | -27.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -462,000.00 |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 176.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 226.63 Mn |
| Jun 30, 2026 | 161.57 Mn |
| Mar 31, 2026 | 316.10 Mn |
| Dec 31, 2025 | -1.50 Bn |
| Sep 30, 2025 | 272.39 Mn |
| Jun 30, 2025 | 260.35 Mn |
| Mar 31, 2025 | 216.69 Mn |
| Dec 31, 2024 | -1.37 Bn |
| Sep 30, 2024 | 206.47 Mn |
| Jun 30, 2024 | 221.84 Mn |
| Mar 31, 2024 | 232.48 Mn |
| Dec 31, 2023 | -1.46 Bn |
| Sep 30, 2023 | 229.69 Mn |
| Jun 30, 2023 | 190.56 Mn |
| Mar 31, 2023 | 301.61 Mn |
| Dec 31, 2022 | -1.56 Bn |
| Sep 30, 2022 | 298.45 Mn |
| Jun 30, 2022 | 231.55 Mn |
| Mar 31, 2022 | 265.99 Mn |
| Dec 31, 2021 | -1.40 Bn |
Sap Se Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=SAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=SAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();