Msc Industrial Direct (MSM) EBITDA (2009 - 2026)
Msc Industrial Direct's EBITDA was $98.83 million in fiscal Q4 2026 (quarter ended Aug 29, 2026), down 8.3% from $107.78 million a year earlier and down 25.4% from the prior quarter.
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Analysis
Msc Industrial Direct (MSM) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 29, 2026), EBITDA at Msc Industrial Direct came in at $423.36 million, up 7.5% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $393.98 million in FY2025 (-16.8%), $473.26 million in FY2024 (-15.5%), $560.05 million in FY2023 (+3.8%) and $539.35 million in FY2022 (+45.5%).
- Quarterly EBITDA has moved between $85.73 million (fiscal Q2 2025) and $161.93 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with an average decline of 4.6%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2022 (growth of 152.3%); the worst was fiscal Q2 2025 (a decline of 23.5%).
- Per Business Quant data, MSM's EBITDA in the three fiscal quarters before Q4 2026 was $132.49 million (Q3 2026), $90.43 million (Q2 2026) and $101.6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 1.53 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 575.70 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 622.20 Mn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 516.00 Mn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | - |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 159.88 Mn |
| 10 | Msc Industrial Direct | 6.71 Bn | 6.48 Bn | 438.58 Mn | 98.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 98.83 Mn |
| May 30, 2026 | 132.49 Mn |
| Feb 28, 2026 | 90.43 Mn |
| Nov 29, 2025 | 101.60 Mn |
| Aug 30, 2025 | 107.78 Mn |
| May 31, 2025 | 106.01 Mn |
| Mar 1, 2025 | 85.73 Mn |
| Nov 30, 2024 | 94.47 Mn |
| Aug 31, 2024 | 112.01 Mn |
| Jun 1, 2024 | 127.42 Mn |
| Mar 2, 2024 | 112.08 Mn |
| Dec 2, 2023 | 121.76 Mn |
| Sep 2, 2023 | 137.47 Mn |
| Jun 3, 2023 | 154.60 Mn |
| Mar 4, 2023 | 132.94 Mn |
| Dec 3, 2022 | 134.58 Mn |
| Sep 3, 2022 | 161.93 Mn |
| May 28, 2022 | 154.28 Mn |
| Feb 26, 2022 | 114.75 Mn |
| Nov 27, 2021 | 108.14 Mn |
API Access
Msc Industrial Direct 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=MSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MSM", "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=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();