Wesco International (WCC) Long-Term Debt Repayments (2009 - 2026)
Wesco International's Long-Term Debt Repayments came in at $2.8 billion for Q2 2026, up 122.2% from $1.26 billion a year earlier and up 18.0% from the prior quarter.
Wesco International (WCC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wesco International reported Long-Term Debt Repayments of $8.41 billion, up 62.7% year-over-year; for FY2025, it was $6.22 billion, down 11.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $7.05 billion in FY2024 (+107.2%), $3.4 billion in FY2023 (-9.7%), $3.77 billion in FY2022 (+47.1%) and $2.57 billion in FY2021 (+69.5%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments in data going back to Q3 2009.
- Year-over-year, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 26.0% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2024 (growth of 257.1%), and the weakest in Q2 2025 (a decline of 45.0%).
- Business Quant data shows WCC's Long-Term Debt Repayments at $2.37 billion (Q1 2026), $1.83 billion (Q4 2025) and $1.41 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 112.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Bn |
| Mar 31, 2026 | 2.37 Bn |
| Dec 31, 2025 | 1.83 Bn |
| Sep 30, 2025 | 1.41 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.73 Bn |
| Dec 31, 2024 | 1.21 Bn |
| Sep 30, 2024 | 968.20 Mn |
| Jun 30, 2024 | 2.29 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 726.70 Mn |
| Jun 30, 2023 | 705.90 Mn |
| Mar 31, 2023 | 723.90 Mn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 561.50 Mn |
| Mar 31, 2022 | 792.50 Mn |
| Dec 31, 2021 | 629.45 Mn |
| Sep 30, 2021 | 652.81 Mn |
Wesco International 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=WCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WCC", "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=WCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();