Msc Industrial Direct (MSM) Capital Expenditures (2009 - 2026)
Msc Industrial Direct's Capital Expenditures came in at $17.21 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 20.8% from $21.73 million a year earlier and down 17.3% from the prior quarter.
Msc Industrial Direct (MSM) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 29, 2026), Msc Industrial Direct's Capital Expenditures was $81.34 million, down 12.4% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 8.6% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $92.84 million in FY2025 (-6.6%), $99.41 million in FY2024 (+7.5%), $92.49 million in FY2023 (+50.7%) and $61.37 million in FY2022 (+14.2%).
- The fiscal Q4 2026 figure represents the lowest quarterly Capital Expenditures since fiscal Q2 2023.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with an average decline of 7.5% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q1 2022 (growth of 93.4%), and the weakest in fiscal Q3 2025 (a decline of 28.5%).
- Business Quant data shows MSM's Capital Expenditures at $20.81 million (Q3 2026), $21.32 million (Q2 2026) and $22.01 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 72.77 Bn | 71.89 Bn | 2.05 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 64.56 Bn | 62.15 Bn | 1.98 Bn | 111.00 Mn |
| 3 | Fastenal | 60.02 Bn | 59.02 Bn | 1.10 Bn | 74.00 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 92.00 Mn |
| 5 | Sunbelt Rentals Holdings | 34.25 Bn | 34.13 Bn | 1.25 Bn | 855.00 Mn |
| 6 | Reliance | 22.80 Bn | 21.86 Bn | 1.45 Bn | 79.00 Mn |
| 7 | Wesco International | 17.09 Bn | 14.14 Bn | 1.57 Bn | 29.10 Mn |
| 8 | Watsco | 11.82 Bn | 11.82 Bn | 586.29 Mn | - |
| 9 | Applied Industrial Technologies | 11.16 Bn | 11.05 Bn | 392.21 Mn | 13.01 Mn |
| 10 | Msc Industrial Direct | 6.79 Bn | 6.56 Bn | 438.58 Mn | 17.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 17.21 Mn |
| May 30, 2026 | 20.81 Mn |
| Feb 28, 2026 | 21.32 Mn |
| Nov 29, 2025 | 22.01 Mn |
| Aug 30, 2025 | 21.73 Mn |
| May 31, 2025 | 21.15 Mn |
| Mar 1, 2025 | 29.79 Mn |
| Nov 30, 2024 | 20.17 Mn |
| Aug 31, 2024 | 26.05 Mn |
| Jun 1, 2024 | 29.57 Mn |
| Mar 2, 2024 | 25.35 Mn |
| Dec 2, 2023 | 18.43 Mn |
| Sep 2, 2023 | 28.38 Mn |
| Jun 3, 2023 | 23.54 Mn |
| Mar 4, 2023 | 15.07 Mn |
| Dec 3, 2022 | 25.50 Mn |
| Sep 3, 2022 | 16.43 Mn |
| May 28, 2022 | 13.76 Mn |
| Feb 26, 2022 | 15.92 Mn |
| Nov 27, 2021 | 15.26 Mn |
Msc Industrial Direct Capital Expenditures 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=capital-expenditures&ticker=MSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();