Scansource (SCSC) Cash & Equivalents (2009 - 2026)
Scansource's Cash & Equivalents came in at $88.37 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 29.9% from $126.16 million a year earlier and down 26.5% from the prior quarter.
Scansource (SCSC) Cash & Equivalents (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, Scansource's Cash & Equivalents data covers 68 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $126.16 million in FY2025 (-32.0%), $185.46 million in FY2024 (+412.6%), $36.18 million in FY2023 (-4.8%) and $37.99 million in FY2022 (-39.4%).
- The five-year range for quarterly Cash & Equivalents is $34.12 million (fiscal Q2 2022) to $185.46 million (fiscal Q4 2024).
- Year-over-year, Cash & Equivalents has declined for six consecutive quarters, with growth averaging 32.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2024 (growth of 412.6%), and the weakest in fiscal Q2 2022 (a decline of 49.2%).
- Business Quant data shows SCSC's Cash & Equivalents at $120.3 million (Q3 2026), $83.47 million (Q2 2026) and $124.92 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Scansource | 1.25 Bn | 837.42 Mn | 119.85 Mn | 88.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.37 Mn |
| Mar 31, 2026 | 120.30 Mn |
| Dec 31, 2025 | 83.47 Mn |
| Sep 30, 2025 | 124.92 Mn |
| Jun 30, 2025 | 126.16 Mn |
| Mar 31, 2025 | 146.29 Mn |
| Dec 31, 2024 | 110.52 Mn |
| Sep 30, 2024 | 145.04 Mn |
| Jun 30, 2024 | 185.46 Mn |
| Mar 31, 2024 | 159.05 Mn |
| Dec 31, 2023 | 44.99 Mn |
| Sep 30, 2023 | 42.65 Mn |
| Jun 30, 2023 | 36.18 Mn |
| Mar 31, 2023 | 37.37 Mn |
| Dec 31, 2022 | 66.45 Mn |
| Sep 30, 2022 | 40.47 Mn |
| Jun 30, 2022 | 37.99 Mn |
| Mar 31, 2022 | 43.54 Mn |
| Dec 31, 2021 | 34.12 Mn |
| Sep 30, 2021 | 55.49 Mn |
Scansource Cash & Equivalents 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=cash-and-equivalents&ticker=SCSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SCSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();