Insight Enterprises (NSIT) Interest Expenses (2010 - 2026)
Insight Enterprises (NSIT) recorded Interest Expenses of $24.41 million in Q2 2026, up 9.2% from $22.35 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Insight Enterprises (NSIT) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Insight Enterprises' Interest Expenses came in at $94.91 million as of Jun 30, 2026, up 37.0% year-over-year; for FY2025, it came in at $84.85 million, up 46.2% from FY2024.
- Annual Interest Expenses has increased for three straight years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $58.04 million in FY2024 (+41.1%), $41.12 million in FY2023 (+4.1%), $39.5 million in FY2022 (-2.5%) and $40.52 million in FY2021 (-2.6%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q1 2010.
- On a year-over-year basis, Interest Expenses has increased for ten consecutive quarters, with growth averaging 42.3% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 60.8% in Q4 2025, against a decline of 19.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.63 million (Q1 2026), $23.57 million (Q4 2025) and $23.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 12.57 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 76.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Insight Enterprises | 4.60 Bn | 2.89 Bn | 521.60 Mn | 24.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.41 Mn |
| Mar 31, 2026 | 23.63 Mn |
| Dec 31, 2025 | 23.57 Mn |
| Sep 30, 2025 | 23.30 Mn |
| Jun 30, 2025 | 22.35 Mn |
| Mar 31, 2025 | 15.63 Mn |
| Dec 31, 2024 | 14.66 Mn |
| Sep 30, 2024 | 16.63 Mn |
| Jun 30, 2024 | 14.19 Mn |
| Mar 31, 2024 | 12.56 Mn |
| Dec 31, 2023 | 9.36 Mn |
| Sep 30, 2023 | 12.01 Mn |
| Jun 30, 2023 | 9.41 Mn |
| Mar 31, 2023 | 10.35 Mn |
| Dec 31, 2022 | 10.33 Mn |
| Sep 30, 2022 | 11.71 Mn |
| Jun 30, 2022 | 9.38 Mn |
| Mar 31, 2022 | 8.07 Mn |
| Dec 31, 2021 | 10.63 Mn |
| Sep 30, 2021 | 10.33 Mn |
API Access
Insight Enterprises 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=interest-expenses&ticker=NSIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();