Science Applications International (SAIC) Profit After Tax (2012 - 2026)
Science Applications International (SAIC) reported Profit After Tax of $102 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 19.7% from $127 million a year earlier and down 11.3% from the prior quarter.
Science Applications International (SAIC) Profit After Tax (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Science Applications International's Profit After Tax came in at $380 million, down 4.8% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $358 million, down 1.1% from FY2025.
- Profit After Tax has a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- By fiscal year, Profit After Tax came in at $362 million in FY2025 (-24.1%), $477 million in FY2024 (+57.4%), $303 million in FY2023 (+8.6%) and $279 million in FY2022 (+32.2%).
- Five-year quarterly Profit After Tax spans a low of $39 million in fiscal Q4 2024 and a high of $247 million in fiscal Q2 2024.
- Year over year, Profit After Tax gained in four of the last eight quarters, with growth averaging 27.5%.
- The high point for year-over-year Profit After Tax in five years was fiscal Q2 2024 (growth of 233.8%); the low point was fiscal Q2 2025 (a decline of 67.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $115 million (Q1 2027), $85 million (Q4 2026) and $78 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 821.25 Mn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 644.00 Mn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 416.24 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 273.90 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | 336.31 Mn |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 272.84 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 126.58 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 110.87 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 102.98 Mn |
| 10 | Science Applications International | 5.30 Bn | 4.84 Bn | 239.00 Mn | 102.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 102.00 Mn |
| May 1, 2026 | 115.00 Mn |
| Jan 30, 2026 | 85.00 Mn |
| Oct 31, 2025 | 78.00 Mn |
| Aug 1, 2025 | 127.00 Mn |
| May 2, 2025 | 68.00 Mn |
| Jan 31, 2025 | 98.00 Mn |
| Nov 1, 2024 | 106.00 Mn |
| Aug 2, 2024 | 81.00 Mn |
| May 3, 2024 | 77.00 Mn |
| Feb 2, 2024 | 39.00 Mn |
| Nov 3, 2023 | 93.00 Mn |
| Aug 4, 2023 | 247.00 Mn |
| May 5, 2023 | 98.00 Mn |
| Feb 3, 2023 | 75.00 Mn |
| Oct 28, 2022 | 80.00 Mn |
| Jul 29, 2022 | 74.00 Mn |
| Apr 29, 2022 | 74.00 Mn |
| Jan 28, 2022 | 44.00 Mn |
| Oct 29, 2021 | 71.00 Mn |
Science Applications International Profit After Tax 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=profit-after-tax&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();