Science Applications International (SAIC) Total Liabilities (2013 - 2026)
Science Applications International's Total Liabilities came in at $3.99 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.2% from $3.68 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Science Applications International (SAIC) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International's Total Liabilities was $3.85 billion, up 5.0% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $3.67 billion in FY2025 (+4.0%), $3.53 billion in FY2024 (-8.1%), $3.84 billion in FY2023 (-6.8%) and $4.12 billion in FY2022 (-1.3%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities since fiscal Q1 2024.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2027 (growth of 8.2%), and the weakest in fiscal Q1 2025 (a decline of 18.1%).
- Business Quant data shows SAIC's Total Liabilities at $3.92 billion (Q1 2027), $3.85 billion (Q4 2026) and $3.91 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 3.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.99 Bn |
| May 1, 2026 | 3.92 Bn |
| Jan 30, 2026 | 3.85 Bn |
| Oct 31, 2025 | 3.91 Bn |
| Aug 1, 2025 | 3.68 Bn |
| May 2, 2025 | 3.71 Bn |
| Jan 31, 2025 | 3.67 Bn |
| Nov 1, 2024 | 3.66 Bn |
| Aug 2, 2024 | 3.63 Bn |
| May 3, 2024 | 3.49 Bn |
| Feb 2, 2024 | 3.53 Bn |
| Nov 3, 2023 | 3.83 Bn |
| Aug 4, 2023 | 3.83 Bn |
| May 5, 2023 | 4.27 Bn |
| Feb 3, 2023 | 3.84 Bn |
| Oct 28, 2022 | 3.93 Bn |
| Jul 29, 2022 | 4.00 Bn |
| Apr 29, 2022 | 4.07 Bn |
| Jan 28, 2022 | 4.12 Bn |
| Oct 29, 2021 | 4.27 Bn |
API Access
Science Applications International Total Liabilities 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-liabilities&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();