Ingram Micro Holding (INGM) Accumulated Expenses (2023 - 2026)
Ingram Micro Holding's Accumulated Expenses was $1.03 billion in Q2 2026, up 5.9% from $970.38 million a year earlier but down 7.1% from the prior quarter.
Powered by 
Analysis
Ingram Micro Holding (INGM) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ingram Micro Holding came in at $1.16 billion, up 13.9% from FY2024.
- In earlier years, Accumulated Expenses was $1.02 billion in FY2024 (-3.7%) and $1.06 billion in FY2023.
- Quarterly Accumulated Expenses has moved between $970.38 million (Q2 2025) and $1.16 billion (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 5.4% over the last six quarters.
- Per Business Quant data, INGM's Accumulated Expenses in the three quarters before Q2 2026 was $1.11 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.03 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.40 Bn | 2.01 Bn | 958.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.03 Bn |
| Mar 28, 2026 | 1.11 Bn |
| Dec 27, 2025 | 1.16 Bn |
| Sep 27, 2025 | 1.03 Bn |
| Jun 28, 2025 | 970.38 Mn |
| Mar 29, 2025 | 995.55 Mn |
| Dec 28, 2024 | 1.02 Bn |
| Sep 28, 2024 | 970.95 Mn |
| Mar 30, 2024 | 1.01 Bn |
| Dec 30, 2023 | 1.06 Bn |
API Access
Ingram Micro Holding Accumulated 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=accumulated-expenses&ticker=INGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();