Scansource (SCSC) Long-Term Debt Repayments (2012 - 2026)
Scansource's Long-Term Debt Repayments came in at $103.88 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 662.8% from $13.62 million a year earlier and up 118.0% from the prior quarter.
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Analysis
Scansource (SCSC) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Scansource's Long-Term Debt Repayments was $293.27 million, up 463.9% from FY2025.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -31.5% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $52 million in FY2025 (-96.4%), $1.44 billion in FY2024 (-41.4%), $2.46 billion in FY2023 (+21.0%) and $2.03 billion in FY2022 (+4.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Long-Term Debt Repayments since fiscal Q3 2024.
- Year-over-year, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 194.4% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q4 2026 (growth of 662.8%), and the weakest in fiscal Q1 2025 (a decline of 98.7%).
- Business Quant data shows SCSC's Long-Term Debt Repayments at $47.65 million (Q3 2026), $92.53 million (Q2 2026) and $49.21 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Scansource | 1.30 Bn | 886.83 Mn | 119.85 Mn | 104.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.74 Mn |
| Mar 31, 2026 | 48.51 Mn |
| Dec 31, 2025 | 226.27 Mn |
| Sep 30, 2025 | 49.48 Mn |
| Jun 30, 2025 | 15.77 Mn |
| Mar 31, 2025 | 13.90 Mn |
| Dec 31, 2024 | 22.59 Mn |
| Sep 30, 2024 | 8.71 Mn |
| Jun 30, 2024 | 24.06 Mn |
| Mar 31, 2024 | 129.31 Mn |
| Dec 31, 2023 | 623.56 Mn |
| Sep 30, 2023 | 669.62 Mn |
| Jun 30, 2023 | 607.45 Mn |
| Mar 31, 2023 | 710.78 Mn |
| Dec 31, 2022 | 595.94 Mn |
| Sep 30, 2022 | 542.45 Mn |
| Jun 30, 2022 | 477.90 Mn |
| Mar 31, 2022 | 495.91 Mn |
| Dec 31, 2021 | 587.45 Mn |
| Sep 30, 2021 | 470.55 Mn |
API Access
Scansource Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SCSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SCSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();