Science Applications International (SAIC) Tax Provisions (2012 - 2026)
Science Applications International's Tax Provisions came in at $17 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$19 million a year earlier and down 43.3% from the prior quarter.
Science Applications International (SAIC) Tax Provisions (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Science Applications International reported Tax Provisions of $77 million, up 175.0% year-over-year; for FY2026 (ended Jan 30, 2026), it was $29 million, down 56.1% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of -13.5% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $66 million in FY2025 (-53.8%), $143 million in FY2024 (+98.6%), $72 million in FY2023 (-8.9%) and $79 million in FY2022 (+31.7%).
- The five-year range for quarterly Tax Provisions is -$19 million (fiscal Q2 2026) to $88 million (fiscal Q2 2024).
- Year-over-year, Tax Provisions increased in two of the last six quarters, with growth averaging 16.2%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2024 (growth of 319.0%), and the weakest in fiscal Q2 2025 (a decline of 78.4%).
- Business Quant data shows SAIC's Tax Provisions at $30 million (Q1 2027), $14 million (Q4 2026) and $16 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 343.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 231.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 95.85 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 99.00 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 121.97 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 80.31 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 33.58 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 46.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 37.57 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 17.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.00 Mn |
| May 1, 2026 | 30.00 Mn |
| Jan 30, 2026 | 14.00 Mn |
| Oct 31, 2025 | 16.00 Mn |
| Aug 1, 2025 | -19.00 Mn |
| May 2, 2025 | 18.00 Mn |
| Jan 31, 2025 | 9.00 Mn |
| Nov 1, 2024 | 20.00 Mn |
| Aug 2, 2024 | 19.00 Mn |
| May 3, 2024 | 18.00 Mn |
| Feb 2, 2024 | 9.00 Mn |
| Nov 3, 2023 | 21.00 Mn |
| Aug 4, 2023 | 88.00 Mn |
| May 5, 2023 | 25.00 Mn |
| Feb 3, 2023 | 10.00 Mn |
| Oct 28, 2022 | 20.00 Mn |
| Jul 29, 2022 | 21.00 Mn |
| Apr 29, 2022 | 21.00 Mn |
| Jan 28, 2022 | 13.00 Mn |
| Oct 29, 2021 | 17.00 Mn |
Science Applications International Tax Provisions 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=tax-provisions&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();