Science Applications International (SAIC) Non Operating Interest Expenses (2013 - 2024)
Science Applications International (SAIC) posted Non Operating Interest Expenses of $32 million for fiscal Q3 2025 (quarter ended Nov 1, 2024), up 18.5% from $27 million a year earlier and up 3.2% from the prior quarter.
Science Applications International (SAIC) Non Operating Interest Expenses (2013 - 2024) Analysis & Trends
For the trailing twelve months through Nov 1, 2024, Non Operating Interest Expenses at Science Applications International was $124 million, up 2.5% year-over-year; for FY2023 (ended Feb 3, 2023), it came in at $120 million, up 14.3% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 22.2% (FY2018 to FY2023).
- In prior fiscal years, Science Applications International's Non Operating Interest Expenses was $105 million in FY2022 (-13.9%), $122 million in FY2021 (+35.6%), $90 million in FY2020 (+69.8%) and $53 million in FY2019 (+20.5%).
- Quarterly Non Operating Interest Expenses has run from a low of $21 million in fiscal Q4 2020 to a high of $34 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 9.1% over the last seven quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q3 2021, with growth of 45.5%; the weakest was fiscal Q2 2022, with a decline of 18.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 13.00 Mn |
| 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 | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 76.25 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 |
|---|---|
| Nov 1, 2024 | 32.00 Mn |
| Aug 2, 2024 | 31.00 Mn |
| May 3, 2024 | 34.00 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 |
| Jul 30, 2021 | 26.00 Mn |
| Apr 30, 2021 | 27.00 Mn |
| Jan 29, 2021 | 27.00 Mn |
| Oct 30, 2020 | 32.00 Mn |
| Jul 31, 2020 | 32.00 Mn |
| May 1, 2020 | 31.00 Mn |
| Jan 31, 2020 | 21.00 Mn |
| Nov 1, 2019 | 22.00 Mn |
Science Applications International Non Operating 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=non-operating-interest-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();