Science Applications International (SAIC) Change in Property, Plant and Equipment (2012 - 2026)
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Analysis
Science Applications International (SAIC) Change in Property, Plant and Equipment (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 15.77 Bn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | -99.00 Mn |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | 45.55 Mn |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | -27.50 Mn |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | -58.88 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 20.01 Mn |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | -21.14 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | -16.76 Mn |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | -15.21 Mn |
| 10 | Science Applications International | 6.12 Bn | 5.66 Bn | 239.00 Mn | -15.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -15.00 Mn |
| May 1, 2026 | -9.00 Mn |
| Jan 30, 2026 | -8.00 Mn |
| Oct 31, 2025 | -9.00 Mn |
| Aug 1, 2025 | -7.00 Mn |
| May 2, 2025 | -8.00 Mn |
| Jan 31, 2025 | -15.00 Mn |
| Nov 1, 2024 | -9.00 Mn |
| Aug 2, 2024 | -6.00 Mn |
| May 3, 2024 | -6.00 Mn |
| Feb 2, 2024 | -11.00 Mn |
| Nov 3, 2023 | -4.00 Mn |
| Aug 4, 2023 | -6.00 Mn |
| May 5, 2023 | -6.00 Mn |
| Feb 3, 2023 | -7.00 Mn |
| Oct 28, 2022 | -6.00 Mn |
| Jul 29, 2022 | -7.00 Mn |
| Apr 29, 2022 | -5.00 Mn |
| Jan 28, 2022 | -9.00 Mn |
| Oct 29, 2021 | -10.00 Mn |
API Access
Science Applications International 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=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "SAIC", "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=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();