Ingram Micro Holding (INGM) Operating Expenses (2023 - 2026)
Ingram Micro Holding (INGM) recorded Operating Expenses of $722.71 million in Q2 2026, up 3.8% from $696.34 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Ingram Micro Holding (INGM) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Ingram Micro Holding's Operating Expenses came in at $2.73 billion as of Jun 27, 2026, up 3.4% year-over-year; for FY2025, it came in at $2.63 billion, unchanged from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 80.8% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $2.63 billion in FY2024 (+0.9%), $2.6 billion in FY2023 (+485.6%) and $444.46 million in FY2022.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2023.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 2.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 12.0% in Q1 2026, against a decline of 5.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $703.1 million (Q1 2026), $656.67 million (Q4 2025) and $646.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.25 Bn | 38.75 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 32.15 Bn | 25.32 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 21.74 Bn | 16.44 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Td Synnex | 19.84 Bn | 14.00 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cdw | 19.79 Bn | 17.78 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 17.64 Bn | 15.43 Bn | - | - |
| 7 | Arrow Electronics | 11.15 Bn | 10.10 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.59 Bn | 6.77 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.93 Bn | 2.57 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 722.71 Mn |
| Mar 28, 2026 | 703.10 Mn |
| Dec 27, 2025 | 656.67 Mn |
| Sep 27, 2025 | 646.13 Mn |
| Jun 28, 2025 | 696.34 Mn |
| Mar 29, 2025 | 627.90 Mn |
| Dec 28, 2024 | 687.59 Mn |
| Sep 28, 2024 | 627.32 Mn |
| Jun 29, 2024 | 647.30 Mn |
| Mar 30, 2024 | 664.82 Mn |
| Dec 30, 2023 | 647.73 Mn |
| Sep 30, 2023 | 642.44 Mn |
API Access
Ingram Micro Holding Operating Expenses 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-expenses&ticker=INGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=INGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();