Science Applications International (SAIC) Receivables - Net (2013 - 2026)
Science Applications International's Receivables - Net came in at $996 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.7% from $951 million a year earlier and up 3.5% from the prior quarter.
Science Applications International (SAIC) Receivables - Net (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International's Receivables - Net was $853 million, down 14.7% from FY2025.
- Receivables - Net carries a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- Going back by fiscal year, Receivables - Net was $1 billion in FY2025 (+9.4%), $914 million in FY2024 (-2.4%), $936 million in FY2023 (-7.8%) and $1.02 billion in FY2022 (+5.5%).
- The five-year range for quarterly Receivables - Net is $853 million (fiscal Q4 2026) to $1.11 billion (fiscal Q3 2022).
- Year-over-year, Receivables - Net increased in six of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Receivables - Net over five years came in fiscal Q4 2025 (growth of 9.4%), and the weakest in fiscal Q4 2026 (a decline of 14.7%).
- Business Quant data shows SAIC's Receivables - Net at $962 million (Q1 2027), $853 million (Q4 2026) and $1.05 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 996.00 Mn |
| May 1, 2026 | 962.00 Mn |
| Jan 30, 2026 | 853.00 Mn |
| Oct 31, 2025 | 1.05 Bn |
| Aug 1, 2025 | 951.00 Mn |
| May 2, 2025 | 1.01 Bn |
| Jan 31, 2025 | 1.00 Bn |
| Nov 1, 2024 | 1.02 Bn |
| Aug 2, 2024 | 946.00 Mn |
| May 3, 2024 | 934.00 Mn |
| Feb 2, 2024 | 914.00 Mn |
| Nov 3, 2023 | 1.01 Bn |
| Aug 4, 2023 | 958.00 Mn |
| May 5, 2023 | 995.00 Mn |
| Feb 3, 2023 | 936.00 Mn |
| Oct 28, 2022 | 1.06 Bn |
| Jul 29, 2022 | 1.04 Bn |
| Apr 29, 2022 | 1.10 Bn |
| Jan 28, 2022 | 1.02 Bn |
| Oct 29, 2021 | 1.11 Bn |
Science Applications International Receivables - 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=receivables-net&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();