Msc Industrial Direct (MSM) EBITDA (2009 - 2026)
Msc Industrial Direct's EBITDA was $132.49 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 25.0% from $106.01 million a year earlier and up 46.5% from the prior quarter.
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Analysis
Msc Industrial Direct (MSM) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Msc Industrial Direct's EBITDA was $432.31 million through May 30, 2026, up 8.6% year-over-year; for FY2025 (ended Aug 30, 2025), it was $393.98 million, down 16.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $473.26 million in FY2024 (-15.5%), $560.05 million in FY2023 (+3.8%), $539.35 million in FY2022 (+45.5%) and $370.62 million in FY2021 (-11.7%).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA since fiscal Q4 2023.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with an average decline of 5.9% over the last eight quarters.
- 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 Q3 2026 was $90.43 million (Q2 2026), $101.6 million (Q1 2026) and $107.78 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.76 Bn | 65.52 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.44 Bn | 60.04 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 59.15 Bn | 58.07 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 43.40 Bn | 40.62 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.72 Bn | 31.60 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 20.61 Bn | 19.65 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 17.76 Bn | 15.07 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.11 Bn | 8.79 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Msc Industrial Direct | 7.34 Bn | 7.12 Bn | 430.41 Mn | 132.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 28, 2021 | 108.49 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();