Msc Industrial Direct (MSM) Operating Expenses (2009 - 2026)
Msc Industrial Direct (MSM) reported Operating Expenses of $323.66 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 3.6% from $312.32 million a year earlier and up 4.3% from the prior quarter.
Msc Industrial Direct (MSM) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended May 30, 2026, Msc Industrial Direct's Operating Expenses came in at $1.25 billion, up 3.1% year-over-year; for FY2025 (ended Aug 30, 2025), it was $1.22 billion, up 4.8% from FY2024.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $1.17 billion in FY2024 (+1.4%), $1.15 billion in FY2023 (+6.2%), $1.08 billion in FY2022 (+9.0%) and $994.47 million in FY2021 (+1.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 3.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 14.6%); the low point was fiscal Q3 2024 (a decline of 0.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $310.34 million (Q2 2026), $311.57 million (Q1 2026) and $306.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Msc Industrial Direct | 7.38 Bn | 7.16 Bn | 430.41 Mn | 323.66 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 323.66 Mn |
| Feb 28, 2026 | 310.34 Mn |
| Nov 29, 2025 | 311.57 Mn |
| Aug 30, 2025 | 306.11 Mn |
| May 31, 2025 | 312.32 Mn |
| Mar 1, 2025 | 301.58 Mn |
| Nov 30, 2024 | 303.56 Mn |
| Aug 31, 2024 | 297.01 Mn |
| Jun 1, 2024 | 288.99 Mn |
| Mar 2, 2024 | 291.24 Mn |
| Dec 2, 2023 | 290.63 Mn |
| Sep 2, 2023 | 299.26 Mn |
| Jun 3, 2023 | 291.71 Mn |
| Mar 4, 2023 | 280.63 Mn |
| Dec 3, 2022 | 279.70 Mn |
| Sep 3, 2022 | 290.26 Mn |
| May 28, 2022 | 271.05 Mn |
| Feb 26, 2022 | 265.97 Mn |
| Nov 27, 2021 | 256.58 Mn |
| Aug 28, 2021 | 253.31 Mn |
Msc Industrial Direct Operating Expenses 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=operating-expenses&ticker=MSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();