Insight Enterprises (NSIT) Selling, General & Administrative (2010 - 2026)
Insight Enterprises (NSIT) recorded Selling, General & Administrative of $384.58 million in Q2 2026, up 9.2% from $352.31 million a year earlier and up 0.2% from the prior quarter.
Insight Enterprises (NSIT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Insight Enterprises' Selling, General & Administrative came in at $1.46 billion as of Jun 30, 2026, up 6.0% year-over-year; for FY2025, it came in at $1.39 billion, up 3.2% from FY2024.
- Annual Selling, General & Administrative has increased for 12 straight years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $1.34 billion in FY2024 (+8.6%), $1.24 billion in FY2023 (+1.6%), $1.22 billion in FY2022 (+8.9%) and $1.12 billion in FY2021 (+10.2%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2010.
- On a year-over-year basis, Selling, General & Administrative has increased for eight consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 20.2% in Q4 2024, against a decline of 2.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $383.98 million (Q1 2026), $361.41 million (Q4 2025) and $332.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 782.54 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 688.14 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 547.51 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 714.42 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Insight Enterprises | 4.76 Bn | 3.05 Bn | 521.60 Mn | 384.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.58 Mn |
| Mar 31, 2026 | 383.98 Mn |
| Dec 31, 2025 | 361.41 Mn |
| Sep 30, 2025 | 332.91 Mn |
| Jun 30, 2025 | 352.31 Mn |
| Mar 31, 2025 | 339.17 Mn |
| Dec 31, 2024 | 358.49 Mn |
| Sep 30, 2024 | 330.00 Mn |
| Jun 30, 2024 | 317.23 Mn |
| Mar 31, 2024 | 337.43 Mn |
| Dec 31, 2023 | 298.21 Mn |
| Sep 30, 2023 | 309.79 Mn |
| Jun 30, 2023 | 318.24 Mn |
| Mar 31, 2023 | 310.00 Mn |
| Dec 31, 2022 | 304.77 Mn |
| Sep 30, 2022 | 308.25 Mn |
| Jun 30, 2022 | 306.00 Mn |
| Mar 31, 2022 | 297.64 Mn |
| Dec 31, 2021 | 289.86 Mn |
| Sep 30, 2021 | 279.00 Mn |
Insight Enterprises Selling, General & Administrative 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=selling-general-and-administrative&ticker=NSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();