Science Applications International (SAIC) Operating Leases (2020 - 2026)
Science Applications International (SAIC) recorded Operating Leases of $220 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 43.8% from $153 million a year earlier and up 16.4% from the prior quarter.
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Analysis
Science Applications International (SAIC) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Science Applications International reported Operating Leases of $198 million, up 14.5% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $173 million in FY2025 (+17.7%), $147 million in FY2024 (-3.3%), $152 million in FY2023 (-20.8%) and $192 million in FY2022 (-6.3%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Leases since fiscal Q2 2021.
- On a year-over-year basis, Operating Leases has increased for three consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 43.9% in fiscal Q3 2025, against a decline of 23.3% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $189 million (Q1 2027), $198 million (Q4 2026) and $159 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 220.00 Mn |
| May 1, 2026 | 189.00 Mn |
| Jan 30, 2026 | 198.00 Mn |
| Oct 31, 2025 | 159.00 Mn |
| Aug 1, 2025 | 153.00 Mn |
| May 2, 2025 | 160.00 Mn |
| Jan 31, 2025 | 173.00 Mn |
| Nov 1, 2024 | 190.00 Mn |
| Aug 2, 2024 | 158.00 Mn |
| May 3, 2024 | 136.00 Mn |
| Feb 2, 2024 | 147.00 Mn |
| Nov 3, 2023 | 132.00 Mn |
| Aug 4, 2023 | 138.00 Mn |
| May 5, 2023 | 150.00 Mn |
| Feb 3, 2023 | 152.00 Mn |
| Oct 28, 2022 | 155.00 Mn |
| Jul 29, 2022 | 162.00 Mn |
| Apr 29, 2022 | 175.00 Mn |
| Jan 28, 2022 | 192.00 Mn |
| Oct 29, 2021 | 202.00 Mn |
API Access
Science Applications International Operating Leases 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=operating-leases&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();