Science Applications International (SAIC) Long-Term Debt Issuances (2016 - 2019)
Science Applications International's Long-Term Debt Issuances was $2.75 billion in FY2026 (year ended Jan 30, 2026), up 83.1% from $1.5 billion in FY2025.
Science Applications International (SAIC) Long-Term Debt Issuances (2016 - 2019) Analysis & Trends
From FY2014 onward, Science Applications International has reported Long-Term Debt Issuances for 12 fiscal years.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of 22.4% (FY2021 to FY2026).
- The FY2026 figure marks the highest annual Long-Term Debt Issuances in data going back to FY2014.
- Per Business Quant data, Long-Term Debt Issuances in earlier fiscal years was $1.5 billion in FY2025 (+836.9%), $160 million in FY2024 (-81.0%), $840 million in FY2023 (+624.1%) and $116 million in FY2022 (-88.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (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 | 689.12 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | - |
| 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 | 2.11 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 40.00 Mn |
| 10 | Science Applications International | 5.79 Bn | 5.33 Bn | 239.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2019 | 1.07 Bn |
| Nov 2, 2018 | 791.00 Mn |
| Nov 4, 2016 | 209.00 Mn |
Science Applications International Long-Term Debt Issuances 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-issuances&ticker=SAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();