Ingram Micro Holding (INGM) Operating Leases (2023 - 2026)
Ingram Micro Holding (INGM) reported Operating Leases of $344.08 million for Q2 2026, down 3.3% from $355.79 million a year earlier and down 4.0% from the prior quarter.
Ingram Micro Holding (INGM) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Ingram Micro Holding posted Operating Leases of $354.89 million, down 4.0% from FY2024.
- By year, Operating Leases came in at $369.49 million in FY2024 (+0.9%) and $366.14 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Operating Leases in data going back to Q4 2023.
- Year over year, Operating Leases has now declined in each of the last three quarters, with an average decline of 1.0% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $358.31 million (Q1 2026), $354.89 million (Q4 2025) and $380.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 344.08 Mn |
| Mar 28, 2026 | 358.31 Mn |
| Dec 27, 2025 | 354.89 Mn |
| Sep 27, 2025 | 380.15 Mn |
| Jun 28, 2025 | 355.79 Mn |
| Mar 29, 2025 | 376.11 Mn |
| Dec 28, 2024 | 369.49 Mn |
| Sep 28, 2024 | 359.24 Mn |
| Dec 30, 2023 | 366.14 Mn |
Ingram Micro Holding Operating Leases 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=operating-leases&ticker=INGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=INGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();