Ingram Micro Holding (INGM) Dividend Yield (2024 - 2026)
Ingram Micro Holding (INGM) posted Dividend Yield of 1.17% for Q2 2026, up 0.33 percentage points from 0.84% a year earlier but down 0.35 percentage points from the prior quarter.
Ingram Micro Holding (INGM) Dividend Yield (2024 - 2026) Analysis & Trends
For FY2025, Ingram Micro Holding's Dividend Yield came in at 1.51%, up 1.37 percentage points from FY2024.
- In prior years, Ingram Micro Holding's Dividend Yield was 0.13% in FY2024.
- Quarterly Dividend Yield has run from a low of 0.13% in Q4 2024 to a high of 1.53% in Q1 2026 over five years.
- On a year-over-year basis, Dividend Yield has increased in each of the last three quarters.
- According to Business Quant data, Dividend Yield for the three prior quarters was 1.53% (Q1 2026), 1.51% (Q4 2025) and 1.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 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 | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.17% |
| Mar 28, 2026 | 1.53% |
| Dec 27, 2025 | 1.51% |
| Sep 27, 2025 | 1.21% |
| Jun 28, 2025 | 0.84% |
| Mar 29, 2025 | 0.56% |
| Dec 28, 2024 | 0.13% |
Ingram Micro Holding Dividend Yield 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=dividend-yield&ticker=INGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "INGM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=INGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();