Science Applications International (SAIC) Other Accumulated Expenses (2014 - 2026)
Science Applications International's Other Accumulated Expenses was $98 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.5% from $106 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Science Applications International (SAIC) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Other Accumulated Expenses at Science Applications International came in at $147 million, up 30.1% from FY2025.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -15.6% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $113 million in FY2025 (-21.5%), $144 million in FY2024 (+0.7%), $143 million in FY2023 (-37.3%) and $228 million in FY2022 (-33.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Other Accumulated Expenses since fiscal Q3 2025.
- Compared with a year earlier, Other Accumulated Expenses was higher in two of the last seven quarters, with an average decline of 3.1%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2026 (growth of 30.1%); the worst was fiscal Q4 2023 (a decline of 37.3%).
- Per Business Quant data, SAIC's Other Accumulated Expenses in the three fiscal quarters before Q2 2027 was $99 million (Q1 2027), $147 million (Q4 2026) and $103 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.92 Bn | 38.42 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.79 Bn | 25.96 Bn | 1.83 Bn |
| 3 | Wipro | 21.95 Bn | 17.09 Bn | 745.00 Mn |
| 4 | Cdw | 20.70 Bn | 18.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.48 Bn | 13.64 Bn | 1.43 Bn |
| 6 | Cgi | 18.14 Bn | 15.94 Bn | - |
| 7 | Arrow Electronics | 10.62 Bn | 9.57 Bn | 1.13 Bn |
| 8 | Avnet | 7.22 Bn | 6.40 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.95 Bn | 2.59 Bn | 429.57 Mn |
| 10 | Science Applications International | 6.04 Bn | 5.58 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 98.00 Mn |
| May 1, 2026 | 99.00 Mn |
| Jan 30, 2026 | 147.00 Mn |
| Oct 31, 2025 | 103.00 Mn |
| Aug 1, 2025 | 106.00 Mn |
| May 2, 2025 | 113.00 Mn |
| Jan 31, 2025 | 113.00 Mn |
| Nov 1, 2024 | 92.00 Mn |
| Aug 2, 2024 | 118.00 Mn |
| May 3, 2024 | 129.00 Mn |
| Feb 2, 2024 | 144.00 Mn |
| Feb 3, 2023 | 143.00 Mn |
| Jan 28, 2022 | 228.00 Mn |
| Jan 29, 2021 | 344.00 Mn |
| Jan 31, 2020 | 287.00 Mn |
| Feb 1, 2019 | 177.00 Mn |
| Feb 2, 2018 | 107.00 Mn |
| Feb 3, 2017 | 111.00 Mn |
| Jan 29, 2016 | 96.00 Mn |
| Oct 30, 2015 | 22.00 Mn |
API Access
Science Applications International Other Accumulated 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=other-accumulated-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();