Science Applications International (SAIC) Interest Expenses (2013 - 2026)
Science Applications International's Interest Expenses was $33 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.5% from $31 million a year earlier and unchanged from the prior quarter.
Science Applications International (SAIC) Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Science Applications International's Interest Expenses was $133 million through Jul 31, 2026, up 9.0% year-over-year; for FY2026 (ended Jan 30, 2026), it was $128 million, up 1.6% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $126 million in FY2025 (+5.0%), $120 million in FY2024 (unchanged), $120 million in FY2023 (+14.3%) and $105 million in FY2022 (-13.9%).
- Quarterly Interest Expenses has moved between $26 million (fiscal Q3 2022) and $34 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with growth averaging 6.2% over the last seven quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q4 2023 (growth of 26.9%); the worst was fiscal Q3 2022 (a decline of 18.8%).
- Per Business Quant data, SAIC's Interest Expenses in the three fiscal quarters before Q2 2027 was $33 million (Q1 2027), $34 million (Q4 2026) and $33 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 1.15 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 19.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | - |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | - |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | - |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 91.85 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 6.34 Mn |
| 10 | Science Applications International | 6.41 Bn | 5.94 Bn | 239.00 Mn | 33.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.00 Mn |
| May 1, 2026 | 33.00 Mn |
| Jan 30, 2026 | 34.00 Mn |
| Oct 31, 2025 | 33.00 Mn |
| Aug 1, 2025 | 31.00 Mn |
| May 2, 2025 | 30.00 Mn |
| Jan 31, 2025 | 29.00 Mn |
| Nov 1, 2024 | 32.00 Mn |
| Aug 2, 2024 | 31.00 Mn |
| May 3, 2024 | 34.00 Mn |
| Feb 2, 2024 | 32.00 Mn |
| Nov 3, 2023 | 27.00 Mn |
| Aug 4, 2023 | 29.00 Mn |
| May 5, 2023 | 32.00 Mn |
| Feb 3, 2023 | 33.00 Mn |
| Oct 28, 2022 | 30.00 Mn |
| Jul 29, 2022 | 30.00 Mn |
| Apr 29, 2022 | 27.00 Mn |
| Jan 28, 2022 | 26.00 Mn |
| Oct 29, 2021 | 26.00 Mn |
Science Applications International Interest Expenses 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=interest-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();