Science Applications International (SAIC) Payables (2013 - 2026)
Science Applications International (SAIC) reported Payables of $597 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.2% from $557 million a year earlier but down 5.8% from the prior quarter.
Science Applications International (SAIC) Payables (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International posted Payables of $500 million, down 20.8% from FY2025.
- Payables has a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- By fiscal year, Payables came in at $631 million in FY2025 (+11.3%), $567 million in FY2024 (-9.1%), $624 million in FY2023 (+2.0%) and $612 million in FY2022 (+18.4%).
- Five-year quarterly Payables spans a low of $500 million in fiscal Q4 2026 and a high of $877 million in fiscal Q3 2022.
- Year over year, Payables gained in three of the last eight quarters, with an average decline of 5.5%.
- The high point for year-over-year Payables in five years was fiscal Q4 2022 (growth of 18.4%); the low point was fiscal Q2 2025 (a decline of 22.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $634 million (Q1 2027), $500 million (Q4 2026) and $627 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.11 Bn | 38.61 Bn | 1.60 Bn | 463.00 Mn |
| 2 | Cognizant Technology Solutions | 32.25 Bn | 25.42 Bn | 1.83 Bn | 390.00 Mn |
| 3 | Wipro | 22.42 Bn | 17.56 Bn | 745.00 Mn | 1.04 Bn |
| 4 | Cdw | 20.02 Bn | 18.01 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Td Synnex | 19.98 Bn | 14.14 Bn | 1.43 Bn | 22.44 Bn |
| 6 | Cgi | 17.68 Bn | 15.48 Bn | - | 788.09 Mn |
| 7 | Arrow Electronics | 11.25 Bn | 10.19 Bn | 1.13 Bn | 27.11 Bn |
| 8 | Avnet | 7.64 Bn | 6.82 Bn | 865.03 Mn | 6.05 Bn |
| 9 | EPAM Systems | 6.91 Bn | 2.55 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Science Applications International | 5.79 Bn | 5.32 Bn | 239.00 Mn | 597.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 597.00 Mn |
| May 1, 2026 | 634.00 Mn |
| Jan 30, 2026 | 500.00 Mn |
| Oct 31, 2025 | 627.00 Mn |
| Aug 1, 2025 | 557.00 Mn |
| May 2, 2025 | 668.00 Mn |
| Jan 31, 2025 | 631.00 Mn |
| Nov 1, 2024 | 714.00 Mn |
| Aug 2, 2024 | 639.00 Mn |
| May 3, 2024 | 648.00 Mn |
| Feb 2, 2024 | 567.00 Mn |
| Nov 3, 2023 | 840.00 Mn |
| Aug 4, 2023 | 820.00 Mn |
| May 5, 2023 | 809.00 Mn |
| Feb 3, 2023 | 624.00 Mn |
| Oct 28, 2022 | 819.00 Mn |
| Jul 29, 2022 | 853.00 Mn |
| Apr 29, 2022 | 820.00 Mn |
| Jan 28, 2022 | 612.00 Mn |
| Oct 29, 2021 | 877.00 Mn |
Science Applications International Payables 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=payables&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();