Science Applications International (SAIC) Receivables (2013 - 2026)
Science Applications International (SAIC) recorded Receivables of $996 million in 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.
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Analysis
Science Applications International (SAIC) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International reported Receivables of $853 million, down 14.7% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $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%).
- Quarterly Receivables has ranged from $853 million in fiscal Q4 2026 to $1.11 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Receivables rose in six of the last eight quarters, with growth averaging 0.8%.
- Peak year-over-year performance for Receivables in the last five years was growth of 9.4% in fiscal Q4 2025, against a decline of 14.7% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $962 million (Q1 2027), $853 million (Q4 2026) and $1.05 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 996.00 Mn |
Historic Data
Download Data
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 |
API Access
Science Applications International Receivables 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&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();