Scansource (SCSC) Total Non-Current Liabilities (2010 - 2026)
Scansource (SCSC) posted Total Non-Current Liabilities of $969.85 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.0% from $829.03 million a year earlier and up 14.3% from the prior quarter.
Scansource (SCSC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Scansource has reported Total Non-Current Liabilities for 65 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- In prior fiscal years, Scansource's Total Non-Current Liabilities was $829.03 million in FY2025 (+2.9%), $805.55 million in FY2024 (-27.7%), $1.11 billion in FY2023 (+3.4%) and $1.08 billion in FY2022 (+23.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Non-Current Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2023, with growth of 29.8%; the weakest was fiscal Q2 2024, with a decline of 36.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $848.65 million (Q3 2026), $776.18 million (Q2 2026) and $748.46 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.42 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 32.02 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Scansource | 1.30 Bn | 886.83 Mn | 119.85 Mn | 957.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 957.69 Mn |
| Mar 31, 2026 | 806.95 Mn |
| Dec 31, 2025 | 735.43 Mn |
| Sep 30, 2025 | 732.21 Mn |
| Jun 30, 2025 | 811.25 Mn |
| Mar 31, 2025 | 762.01 Mn |
| Dec 31, 2024 | 741.66 Mn |
| Sep 30, 2024 | 799.92 Mn |
| Jun 30, 2024 | 805.55 Mn |
| Mar 31, 2024 | 781.07 Mn |
| Dec 31, 2023 | 771.39 Mn |
| Sep 30, 2023 | 944.63 Mn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 975.57 Mn |
| Dec 31, 2021 | 937.77 Mn |
| Sep 30, 2021 | 884.83 Mn |
Scansource Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SCSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SCSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();