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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 6.62 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 4.40 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 5.20 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 7.06 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 3.51 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Insight Enterprises | 4.95 Bn | 3.24 Bn | 521.60 Mn | 1.49 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();