Insight Enterprises (NSIT) EBITDA (2010 - 2026)
Insight Enterprises (NSIT) recorded EBITDA of $159.82 million in Q2 2026, up 42.1% from $112.46 million a year earlier and up 59.6% from the prior quarter.
Insight Enterprises (NSIT) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Insight Enterprises' EBITDA came in at $502.88 million as of Jun 30, 2026, up 23.4% year-over-year; for FY2025, it came in at $441.24 million, down 9.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $486.72 million in FY2024 (+0.9%), $482.27 million in FY2023 (+2.5%), $470.31 million in FY2022 (+21.4%) and $387.48 million in FY2021 (+3.4%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 42.1% in Q2 2026, against a decline of 39.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $100.16 million (Q1 2026), $123.57 million (Q4 2025) and $119.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 13.55 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 498.97 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 749.12 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 591.24 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 412.93 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 268.27 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Insight Enterprises | 4.95 Bn | 3.24 Bn | 521.60 Mn | 160.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.68 Mn |
| Mar 31, 2026 | 101.01 Mn |
| Dec 31, 2025 | 124.57 Mn |
| Sep 30, 2025 | 120.41 Mn |
| Jun 30, 2025 | 113.53 Mn |
| Mar 31, 2025 | 87.16 Mn |
| Dec 31, 2024 | 91.96 Mn |
| Sep 30, 2024 | 120.26 Mn |
| Jun 30, 2024 | 157.00 Mn |
| Mar 31, 2024 | 123.10 Mn |
| Dec 31, 2023 | 150.86 Mn |
| Sep 30, 2023 | 108.63 Mn |
| Jun 30, 2023 | 134.31 Mn |
| Mar 31, 2023 | 93.34 Mn |
| Dec 31, 2022 | 129.64 Mn |
| Sep 30, 2022 | 107.34 Mn |
| Jun 30, 2022 | 144.66 Mn |
| Mar 31, 2022 | 94.79 Mn |
| Dec 31, 2021 | 110.95 Mn |
| Sep 30, 2021 | 109.03 Mn |
Insight Enterprises EBITDA 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=ebitda&ticker=NSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();