Science Applications International (SAIC) Cost of Revenue (2012 - 2026)
Science Applications International (SAIC) reported Cost of Revenue of $1.64 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.6% from $1.55 billion a year earlier but down 1.0% from the prior quarter.
Science Applications International (SAIC) Cost of Revenue (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Science Applications International's Cost of Revenue came in at $6.47 billion, down 1.5% year-over-year; for FY2026 (ended Jan 30, 2026), it was $6.39 billion, down 3.0% from FY2025.
- Cost of Revenue has a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $6.59 billion in FY2025 (+0.2%), $6.57 billion in FY2024 (-3.6%), $6.82 billion in FY2023 (+4.3%) and $6.54 billion in FY2022 (+4.3%).
- Five-year quarterly Cost of Revenue spans a low of $1.53 billion in fiscal Q4 2026 and a high of $1.79 billion in fiscal Q1 2024.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q4 2023 (growth of 10.2%); the low point was fiscal Q4 2024 (a decline of 11.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.66 billion (Q1 2027), $1.53 billion (Q4 2026) and $1.64 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Science Applications International | 5.26 Bn | 4.80 Bn | 239.00 Mn | 1.64 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.64 Bn |
| May 1, 2026 | 1.66 Bn |
| Jan 30, 2026 | 1.53 Bn |
| Oct 31, 2025 | 1.64 Bn |
| Aug 1, 2025 | 1.55 Bn |
| May 2, 2025 | 1.67 Bn |
| Jan 31, 2025 | 1.61 Bn |
| Nov 1, 2024 | 1.74 Bn |
| Aug 2, 2024 | 1.61 Bn |
| May 3, 2024 | 1.63 Bn |
| Feb 2, 2024 | 1.55 Bn |
| Nov 3, 2023 | 1.67 Bn |
| Aug 4, 2023 | 1.57 Bn |
| May 5, 2023 | 1.79 Bn |
| Feb 3, 2023 | 1.75 Bn |
| Oct 28, 2022 | 1.69 Bn |
| Jul 29, 2022 | 1.61 Bn |
| Apr 29, 2022 | 1.77 Bn |
| Jan 28, 2022 | 1.59 Bn |
| Oct 29, 2021 | 1.69 Bn |
Science Applications International Cost of Revenue 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=cost-of-revenue&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();