Science Applications International (SAIC) Property, Plant & Equipment (Net) (2013 - 2026)
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Analysis
Science Applications International (SAIC) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 260.87 Mn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 204.97 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 122.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 114.59 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 2.48 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 8.39 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 1.54 Bn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 1.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 122.00 Mn |
| May 1, 2026 | 111.00 Mn |
| Jan 30, 2026 | 110.00 Mn |
| Oct 31, 2025 | 108.00 Mn |
| Aug 1, 2025 | 104.00 Mn |
| May 2, 2025 | 102.00 Mn |
| Jan 31, 2025 | 104.00 Mn |
| Nov 1, 2024 | 99.00 Mn |
| Aug 2, 2024 | 95.00 Mn |
| May 3, 2024 | 93.00 Mn |
| Feb 2, 2024 | 91.00 Mn |
| Nov 3, 2023 | 89.00 Mn |
| Aug 4, 2023 | 90.00 Mn |
| May 5, 2023 | 91.00 Mn |
| Feb 3, 2023 | 92.00 Mn |
| Oct 28, 2022 | 95.00 Mn |
| Jul 29, 2022 | 95.00 Mn |
| Apr 29, 2022 | 97.00 Mn |
| Jan 28, 2022 | 100.00 Mn |
| Oct 29, 2021 | 103.00 Mn |
API Access
Science Applications International Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();