Insight Enterprises (NSIT) Retained Earnings (2010 - 2026)
Insight Enterprises (NSIT) posted Retained Earnings of $1.49 billion for Q2 2026, down 0.2% from $1.49 billion a year earlier but up 0.4% from the prior quarter.
Insight Enterprises (NSIT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Insight Enterprises' Retained Earnings came in at $1.52 billion, up 0.8% from FY2024.
- Annual Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Insight Enterprises' Retained Earnings was $1.51 billion in FY2024 (+4.2%), $1.45 billion in FY2023 (+5.8%), $1.37 billion in FY2022 (+17.2%) and $1.17 billion in FY2021 (+17.6%).
- Quarterly Retained Earnings has run from a low of $1.11 billion in Q3 2021 to a high of $1.57 billion in Q2 2024 over five years.
- On a year-over-year basis, Retained Earnings increased in four of the last eight quarters, with growth averaging 1.0%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q2 2022, with growth of 26.8%; the weakest was Q2 2025, with a decline of 5.1%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.48 billion (Q1 2026), $1.52 billion (Q4 2025) and $1.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Insight Enterprises | 4.60 Bn | 2.89 Bn | 521.60 Mn | 1.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.49 Bn |
| Mar 31, 2026 | 1.48 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.49 Bn |
| Mar 31, 2025 | 1.52 Bn |
| Dec 31, 2024 | 1.51 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.57 Bn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.45 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jun 30, 2023 | 1.30 Bn |
| Mar 31, 2023 | 1.31 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.37 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.11 Bn |
Insight Enterprises Retained Earnings 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=retained-earnings&ticker=NSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();