Wesco International (WCC) EBITDA (2009 - 2026)
Wesco International (WCC) posted EBITDA of $444.9 million for Q2 2026, up 17.8% from $377.7 million a year earlier and up 25.3% from the prior quarter.
Wesco International (WCC) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Wesco International was $1.59 billion, up 13.3% year-over-year; for FY2025, it was $1.46 billion, up 2.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In prior years, Wesco International's EBITDA was $1.42 billion in FY2024 (-10.5%), $1.59 billion in FY2023 (-1.8%), $1.62 billion in FY2022 (+61.6%) and $1 billion in FY2021 (+113.5%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q2 2009.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 4.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 104.6%; the weakest was Q1 2024, with a decline of 21.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $355.2 million (Q1 2026), $386.4 million (Q4 2025) and $403.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Avantor | 11.02 Bn | 9.82 Bn | 537.00 Mn | 229.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 444.90 Mn |
| Mar 31, 2026 | 355.20 Mn |
| Dec 31, 2025 | 386.40 Mn |
| Sep 30, 2025 | 403.50 Mn |
| Jun 30, 2025 | 377.70 Mn |
| Mar 31, 2025 | 293.20 Mn |
| Dec 31, 2024 | 350.10 Mn |
| Sep 30, 2024 | 385.00 Mn |
| Jun 30, 2024 | 374.30 Mn |
| Mar 31, 2024 | 312.60 Mn |
| Dec 31, 2023 | 364.30 Mn |
| Sep 30, 2023 | 429.30 Mn |
| Jun 30, 2023 | 414.50 Mn |
| Mar 31, 2023 | 394.40 Mn |
| Dec 31, 2022 | 428.80 Mn |
| Sep 30, 2022 | 447.80 Mn |
| Jun 30, 2022 | 420.00 Mn |
| Mar 31, 2022 | 335.60 Mn |
| Dec 31, 2021 | 278.18 Mn |
| Sep 30, 2021 | 292.29 Mn |
Wesco International EBITDA 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=ebitda&ticker=WCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();