Science Applications International (SAIC) Total Debt (2013 - 2026)
Science Applications International (SAIC) recorded Total Debt of $2.49 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.4% from $2.29 billion a year earlier and unchanged from the prior quarter.
Science Applications International (SAIC) Total Debt (2013 - 2026) Analysis & Trends
Starting with fiscal Q4 2013, Science Applications International's Total Debt history includes 54 quarters.
- Annual Total Debt has a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Debt came in at $2.22 billion in FY2025 (+5.8%), $2.1 billion in FY2024 (-11.6%), $2.37 billion in FY2023 (-5.7%) and $2.52 billion in FY2022 (+0.1%).
- Quarterly Total Debt has ranged from $2.08 billion in fiscal Q1 2025 to $2.55 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Total Debt has increased for seven consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 15.2% in fiscal Q3 2026, against a decline of 12.3% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.49 billion (Q1 2027), $2.49 billion (Q4 2026) and $2.49 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 2.24 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.56 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.72 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 5.82 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 2.66 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 2.17 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.23 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.80 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 25.00 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 2.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.49 Bn |
| May 1, 2026 | 2.49 Bn |
| Jan 30, 2026 | 2.49 Bn |
| Oct 31, 2025 | 2.49 Bn |
| Aug 1, 2025 | 2.29 Bn |
| May 2, 2025 | 2.28 Bn |
| Jan 31, 2025 | 2.22 Bn |
| Nov 1, 2024 | 2.16 Bn |
| Aug 2, 2024 | 2.17 Bn |
| May 3, 2024 | 2.08 Bn |
| Feb 2, 2024 | 2.10 Bn |
| Nov 3, 2023 | 2.26 Bn |
| Aug 4, 2023 | 2.28 Bn |
| May 5, 2023 | 2.38 Bn |
| Feb 3, 2023 | 2.37 Bn |
| Oct 28, 2022 | 2.37 Bn |
| Jul 29, 2022 | 2.46 Bn |
| Apr 29, 2022 | 2.46 Bn |
| Jan 28, 2022 | 2.52 Bn |
| Oct 29, 2021 | 2.55 Bn |
Science Applications International Total 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=total-debt&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();