Scansource (SCSC) Operating Expenses (2009 - 2026)
Scansource's Operating Expenses came in at $84.98 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 15.6% from $73.51 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Scansource (SCSC) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Scansource's Operating Expenses was $320.94 million, up 6.2% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $302.32 million in FY2025 (+3.2%), $293.01 million in FY2024 (-1.2%), $296.61 million in FY2023 (+3.5%) and $286.5 million in FY2022 (+6.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 16.8%), and the weakest in fiscal Q1 2022 (a decline of 9.5%).
- Business Quant data shows SCSC's Operating Expenses at $79.57 million (Q3 2026), $79.55 million (Q2 2026) and $76.88 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Scansource | 1.16 Bn | 747.90 Mn | 119.85 Mn | 84.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.98 Mn |
| Mar 31, 2026 | 79.57 Mn |
| Dec 31, 2025 | 79.55 Mn |
| Sep 30, 2025 | 76.88 Mn |
| Jun 30, 2025 | 73.51 Mn |
| Mar 31, 2025 | 72.02 Mn |
| Dec 31, 2024 | 77.14 Mn |
| Sep 30, 2024 | 79.67 Mn |
| Jun 30, 2024 | 71.70 Mn |
| Mar 31, 2024 | 73.20 Mn |
| Dec 31, 2023 | 69.92 Mn |
| Sep 30, 2023 | 78.24 Mn |
| Jun 30, 2023 | 77.17 Mn |
| Mar 31, 2023 | 73.31 Mn |
| Dec 31, 2022 | 71.77 Mn |
| Sep 30, 2022 | 74.39 Mn |
| Jun 30, 2022 | 78.93 Mn |
| Mar 31, 2022 | 69.13 Mn |
| Dec 31, 2021 | 71.71 Mn |
| Sep 30, 2021 | 66.75 Mn |
API Access
Scansource 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=SCSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SCSC", "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=SCSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();