Science Applications International (SAIC) Price to Sales (2013 - 2026)
Science Applications International's (SAIC) Price to Sales came in at 0.66 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.7% from 0.68 a year earlier but up 17.5% from the prior quarter.
Science Applications International (SAIC) Price to Sales (2013 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Science Applications International's Price to Sales stood at 0.62, down 11.3% from FY2025.
- In prior fiscal years, Science Applications International's Price to Sales was 0.69 in FY2025 (-22.9%), 0.90 in FY2024 (+23.5%), 0.73 in FY2023 (+18.5%) and 0.62 in FY2022 (-22.0%).
- Quarterly Price to Sales has run from a low of 0.57 in fiscal Q1 2027 to a high of 0.96 in fiscal Q3 2025 over five years.
- On a year-over-year basis, Price to Sales has declined in each of the last seven quarters, with an average decline of 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Price to Sales in the past five years was fiscal Q1 2025, with growth of 30.9%; the weakest was fiscal Q3 2026, with a decline of 40.3%.
- According to Business Quant data, Price to Sales for the three prior fiscal quarters was 0.57 (Q1 2027), 0.62 (Q4 2026) and 0.57 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.30 Bn | 4.84 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.66 |
| May 1, 2026 | 0.57 |
| Jan 30, 2026 | 0.62 |
| Oct 31, 2025 | 0.57 |
| Aug 1, 2025 | 0.68 |
| May 2, 2025 | 0.74 |
| Jan 31, 2025 | 0.69 |
| Nov 1, 2024 | 0.96 |
| Aug 2, 2024 | 0.84 |
| May 3, 2024 | 0.92 |
| Feb 2, 2024 | 0.90 |
| Nov 3, 2023 | 0.75 |
| Aug 4, 2023 | 0.84 |
| May 5, 2023 | 0.71 |
| Feb 3, 2023 | 0.73 |
| Oct 28, 2022 | 0.78 |
| Jul 29, 2022 | 0.71 |
| Apr 29, 2022 | 0.62 |
| Jan 28, 2022 | 0.62 |
| Oct 29, 2021 | 0.70 |
Science Applications International Price to Sales 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=price-to-sales&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();