Science Applications International (SAIC) Long-Term Debt Repayments (2012 - 2026)
Science Applications International (SAIC) posted Long-Term Debt Repayments of $1 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 99.8% from $546 million a year earlier and unchanged from the prior quarter.
Science Applications International (SAIC) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Long-Term Debt Repayments at Science Applications International was $1.24 billion, down 38.3% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $2.47 billion, up 79.1% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 44.0% (FY2021 to FY2026).
- In prior fiscal years, Science Applications International's Long-Term Debt Repayments was $1.38 billion in FY2025 (+213.2%), $441 million in FY2024 (-55.5%), $990 million in FY2023 (+731.9%) and $119 million in FY2022 (-70.2%).
- Quarterly Long-Term Debt Repayments has run from a low of $1 million in fiscal Q4 2026 to a high of $1.24 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last three quarters, with growth averaging 25.5% over the last seven quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2023, with growth of 791.3%; the weakest was fiscal Q1 2027, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1 million (Q1 2027), $1 million (Q4 2026) and $1.24 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Science Applications International | 5.79 Bn | 5.33 Bn | 239.00 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.00 Mn |
| May 1, 2026 | 1.00 Mn |
| Jan 30, 2026 | 1.00 Mn |
| Oct 31, 2025 | 1.24 Bn |
| Aug 1, 2025 | 546.00 Mn |
| May 2, 2025 | 689.00 Mn |
| Jan 31, 2025 | 325.00 Mn |
| Nov 1, 2024 | 450.00 Mn |
| Aug 2, 2024 | 296.00 Mn |
| May 3, 2024 | 310.00 Mn |
| Feb 2, 2024 | 166.00 Mn |
| Nov 3, 2023 | 15.00 Mn |
| Aug 4, 2023 | 100.00 Mn |
| May 5, 2023 | 160.00 Mn |
| Feb 3, 2023 | 210.00 Mn |
| Oct 28, 2022 | 205.00 Mn |
| Jul 29, 2022 | 516.00 Mn |
| Apr 29, 2022 | 59.00 Mn |
| Jan 28, 2022 | 35.00 Mn |
| Oct 29, 2021 | 23.00 Mn |
Science Applications International Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();