Msc Industrial Direct (MSM) Accumulated Expenses (2010 - 2026)
Msc Industrial Direct's Accumulated Expenses came in at $161.48 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 2.2% from $165.09 million a year earlier but up 3.8% from the prior quarter.
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Analysis
Msc Industrial Direct (MSM) Accumulated Expenses (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Msc Industrial Direct's Accumulated Expenses data covers 65 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $165.09 million in FY2025 (+11.8%), $147.64 million in FY2024 (-14.2%), $172.03 million in FY2023 (+4.7%) and $164.33 million in FY2022 (+3.2%).
- The five-year range for quarterly Accumulated Expenses is $141.05 million (fiscal Q2 2022) to $190.27 million (fiscal Q1 2022).
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2022 (growth of 47.4%), and the weakest in fiscal Q4 2024 (a decline of 14.2%).
- Business Quant data shows MSM's Accumulated Expenses at $155.6 million (Q3 2026), $148.18 million (Q2 2026) and $167.65 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn |
| 10 | Msc Industrial Direct | 6.71 Bn | 6.48 Bn | 438.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 161.48 Mn |
| May 30, 2026 | 155.60 Mn |
| Feb 28, 2026 | 148.18 Mn |
| Nov 29, 2025 | 167.65 Mn |
| Aug 30, 2025 | 165.09 Mn |
| May 31, 2025 | 172.55 Mn |
| Mar 1, 2025 | 155.60 Mn |
| Nov 30, 2024 | 166.38 Mn |
| Aug 31, 2024 | 147.64 Mn |
| Jun 1, 2024 | 149.30 Mn |
| Mar 2, 2024 | 142.80 Mn |
| Dec 2, 2023 | 174.14 Mn |
| Sep 2, 2023 | 172.03 Mn |
| Jun 3, 2023 | 164.76 Mn |
| Mar 4, 2023 | 142.80 Mn |
| Dec 3, 2022 | 169.20 Mn |
| Sep 3, 2022 | 164.33 Mn |
| May 28, 2022 | 152.96 Mn |
| Feb 26, 2022 | 141.05 Mn |
| Nov 27, 2021 | 190.27 Mn |
API Access
Msc Industrial Direct Accumulated 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=accumulated-expenses&ticker=MSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();