Wesco International (WCC) EBITDA (2009 - 2026)
Wesco International (WCC) posted EBITDA of $516 million for Q3 2026, up 27.9% from $403.5 million a year earlier and up 16.0% from the prior quarter.
Wesco International (WCC) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Wesco International was $1.7 billion, up 19.5% year-over-year; for FY2025, it was $1.46 billion, up 2.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In prior years, Wesco International's EBITDA was $1.42 billion in FY2024 (-11.3%), $1.6 billion in FY2023 (-1.8%), $1.63 billion in FY2022 (+60.1%) and $1.02 billion in FY2021 (+112.8%).
- The Q3 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 six quarters, with growth averaging 9.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 101.1%; the weakest was Q1 2024, with a decline of 20.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $444.9 million (Q2 2026), $355.2 million (Q1 2026) and $386.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 71.04 Bn | 70.16 Bn | 2.05 Bn | 1.53 Bn |
| 2 | W.W. Grainger | 68.63 Bn | 65.99 Bn | 2.01 Bn | 895.00 Mn |
| 3 | Fastenal | 62.75 Bn | 61.74 Bn | 1.10 Bn | 575.70 Mn |
| 4 | Ferguson Enterprises | 51.09 Bn | 48.31 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.50 Bn | 33.38 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.41 Bn | 20.47 Bn | 1.45 Bn | 622.20 Mn |
| 7 | Wesco International | 15.56 Bn | 12.61 Bn | 1.57 Bn | 516.00 Mn |
| 8 | Watsco | 12.09 Bn | 9.78 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Applied Industrial Technologies | 10.90 Bn | 10.78 Bn | 392.21 Mn | 159.88 Mn |
| 10 | Avantor | 10.66 Bn | 9.25 Bn | 534.80 Mn | 246.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 516.00 Mn |
| 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 |
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();