W.W. Grainger (GWW) EBITDA (2009 - 2026)
W.W. Grainger (GWW) posted EBITDA of $873 million for Q2 2026, up 17.7% from $742 million a year earlier and up 2.1% from the prior quarter.
W.W. Grainger (GWW) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at W.W. Grainger was $3 billion, up 3.0% year-over-year; for FY2025, it was $2.75 billion, down 4.3% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In prior years, W.W. Grainger's EBITDA was $2.87 billion in FY2024 (+3.4%), $2.78 billion in FY2023 (+14.8%), $2.42 billion in FY2022 (+39.6%) and $1.73 billion in FY2021 (+44.4%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 53.8%; the weakest was Q3 2025, with a decline of 22.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $855 million (Q1 2026), $698 million (Q4 2025) and $576 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 229.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 873.00 Mn |
| Mar 31, 2026 | 855.00 Mn |
| Dec 31, 2025 | 698.00 Mn |
| Sep 30, 2025 | 576.00 Mn |
| Jun 30, 2025 | 742.00 Mn |
| Mar 31, 2025 | 733.00 Mn |
| Dec 31, 2024 | 695.00 Mn |
| Sep 30, 2024 | 745.00 Mn |
| Jun 30, 2024 | 709.00 Mn |
| Mar 31, 2024 | 725.00 Mn |
| Dec 31, 2023 | 614.00 Mn |
| Sep 30, 2023 | 722.00 Mn |
| Jun 30, 2023 | 713.00 Mn |
| Mar 31, 2023 | 730.00 Mn |
| Dec 31, 2022 | 590.00 Mn |
| Sep 30, 2022 | 655.00 Mn |
| Jun 30, 2022 | 589.00 Mn |
| Mar 31, 2022 | 586.00 Mn |
| Dec 31, 2021 | 467.00 Mn |
| Sep 30, 2021 | 483.00 Mn |
W.W. Grainger 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=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "GWW", "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=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();