Insight Enterprises (NSIT) Long-Term Debt Repayments (2010 - 2026)
Insight Enterprises (NSIT) posted Long-Term Debt Repayments of $1.6 billion for Q2 2026, up 18.1% from $1.36 billion a year earlier and up 14.0% from the prior quarter.
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Analysis
Insight Enterprises (NSIT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Insight Enterprises was $1.02 billion; for FY2025, it came in at $333.09 million.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -37.4% (FY2020 to FY2025).
- In prior years, Insight Enterprises' Long-Term Debt Repayments was $16.9 million in FY2024 and $4.04 billion in FY2021 (+16.7%).
- Quarterly Long-Term Debt Repayments has run from a low of -$3.95 billion in Q4 2024 to a high of $1.69 billion in Q2 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last five quarters, with growth averaging 15.3%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2025, with growth of 50.9%; the weakest was Q2 2025, with a decline of 19.5%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.41 billion (Q1 2026), -$3.64 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | - |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -1.44 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 700.23 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Insight Enterprises | 4.92 Bn | 3.21 Bn | 521.60 Mn | 1.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Bn |
| Mar 31, 2026 | 1.41 Bn |
| Dec 31, 2025 | -3.97 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.36 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | -3.96 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.69 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2022 | -3.43 Bn |
| Sep 30, 2022 | 1.51 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 831.44 Mn |
| Dec 31, 2021 | 955.45 Mn |
| Sep 30, 2021 | 1.29 Bn |
| Jun 30, 2021 | 876.83 Mn |
| Mar 31, 2021 | 921.85 Mn |
| Dec 31, 2020 | 779.50 Mn |
| Sep 30, 2020 | 875.14 Mn |
API Access
Insight Enterprises Long-Term Debt Repayments 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-repayments&ticker=NSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NSIT", "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-repayments&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();