Science Applications International (SAIC) Short term Debt (2013 - 2026)
Science Applications International (SAIC) reported Short term Debt of $33 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 92.6% from $448 million a year earlier but up 26.9% from the prior quarter.
Science Applications International (SAIC) Short term Debt (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International posted Short term Debt of $19 million, down 93.9% from FY2025.
- Short term Debt has a five-year compound annual growth rate of -22.5% (FY2021 to FY2026).
- By fiscal year, Short term Debt came in at $313 million in FY2025 (+306.5%), $77 million in FY2024 (+148.4%), $31 million in FY2023 (-79.1%) and $148 million in FY2022 (+117.6%).
- Five-year quarterly Short term Debt spans a low of $12 million in fiscal Q3 2026 and a high of $448 million in fiscal Q2 2026.
- Year over year, Short term Debt has now declined in each of the last four quarters, with growth averaging 78.5% over the last eight quarters.
- The high point for year-over-year Short term Debt in five years was fiscal Q3 2024 (growth of 360.0%); the low point was fiscal Q3 2026 (a decline of 94.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $26 million (Q1 2027), $19 million (Q4 2026) and $12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.00 Mn |
| May 1, 2026 | 26.00 Mn |
| Jan 30, 2026 | 19.00 Mn |
| Oct 31, 2025 | 12.00 Mn |
| Aug 1, 2025 | 448.00 Mn |
| May 2, 2025 | 405.00 Mn |
| Jan 31, 2025 | 313.00 Mn |
| Nov 1, 2024 | 220.00 Mn |
| Aug 2, 2024 | 197.00 Mn |
| May 3, 2024 | 90.00 Mn |
| Feb 2, 2024 | 77.00 Mn |
| Nov 3, 2023 | 69.00 Mn |
| Aug 4, 2023 | 62.00 Mn |
| May 5, 2023 | 46.00 Mn |
| Feb 3, 2023 | 31.00 Mn |
| Oct 28, 2022 | 15.00 Mn |
| Apr 29, 2022 | 119.00 Mn |
| Jan 28, 2022 | 148.00 Mn |
| Oct 29, 2021 | 119.00 Mn |
| Jul 30, 2021 | 112.00 Mn |
Science Applications International Short term Debt 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=short-term-debt&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();