Ingram Micro Holding (INGM) EV to EBITDA (2024 - 2026)
Ingram Micro Holding's (INGM) EV to EBITDA stood at 4.20 in Q3 2026, up 4.9% from 4.01 a year earlier but down 11.1% from the prior quarter.
Ingram Micro Holding (INGM) EV to EBITDA (2024 - 2026) Analysis & Trends
On a TTM basis, Ingram Micro Holding's EV to EBITDA came in at 1.38 as of Sep 26, 2026, down 1.4% year-over-year; for FY2025, it was 3.05, down 14.3% from FY2024.
- Across earlier years, EV to EBITDA came in at 3.56 in FY2024.
- Quarterly EV to EBITDA has ranged from 3.08 in Q4 2025 to 4.73 in Q2 2026 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for three consecutive quarters, with growth averaging 8.7% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at 4.73 (Q2 2026), 3.91 (Q1 2026) and 3.08 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 4.20 |
| Jun 27, 2026 | 4.73 |
| Mar 28, 2026 | 3.91 |
| Dec 27, 2025 | 3.08 |
| Sep 27, 2025 | 4.01 |
| Jun 28, 2025 | 3.91 |
| Mar 29, 2025 | 3.16 |
| Dec 28, 2024 | 3.61 |
Ingram Micro Holding EV to 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=ev-to-ebitda&ticker=INGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=INGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();