Msc Industrial Direct (MSM) Net Income (2009 - 2026)
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Analysis
Msc Industrial Direct (MSM) Net Income (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 70.53 Bn | 68.12 Bn | 1.98 Bn | 600.00 Mn |
| 2 | United Rentals | 70.13 Bn | 69.25 Bn | 2.05 Bn | 920.00 Mn |
| 3 | Fastenal | 60.86 Bn | 59.86 Bn | 1.10 Bn | 401.60 Mn |
| 4 | Ferguson Enterprises | 48.28 Bn | 45.49 Bn | 2.32 Bn | 414.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.04 Bn | 32.92 Bn | 1.25 Bn | 438.00 Mn |
| 6 | Reliance | 22.41 Bn | 21.46 Bn | 1.45 Bn | 403.40 Mn |
| 7 | Wesco International | 15.37 Bn | 12.42 Bn | 1.57 Bn | 268.50 Mn |
| 8 | Watsco | 12.18 Bn | 9.87 Bn | 578.93 Mn | 191.30 Mn |
| 9 | Applied Industrial Technologies | 10.90 Bn | 10.79 Bn | 392.21 Mn | 110.40 Mn |
| 10 | Msc Industrial Direct | 6.48 Bn | 6.26 Bn | 438.58 Mn | 47.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 47.94 Mn |
| May 30, 2026 | 80.36 Mn |
| Feb 28, 2026 | 42.48 Mn |
| Nov 29, 2025 | 51.80 Mn |
| Aug 30, 2025 | 56.55 Mn |
| May 31, 2025 | 56.86 Mn |
| Mar 1, 2025 | 39.31 Mn |
| Nov 30, 2024 | 46.62 Mn |
| Aug 31, 2024 | 55.69 Mn |
| Jun 1, 2024 | 71.71 Mn |
| Mar 2, 2024 | 61.85 Mn |
| Dec 2, 2023 | 69.35 Mn |
| Sep 2, 2023 | 87.57 Mn |
| Jun 3, 2023 | 95.18 Mn |
| Mar 4, 2023 | 79.32 Mn |
| Dec 3, 2022 | 81.31 Mn |
| Sep 3, 2022 | 104.35 Mn |
| May 28, 2022 | 99.72 Mn |
| Feb 26, 2022 | 70.15 Mn |
| Nov 27, 2021 | 66.26 Mn |
API Access
Msc Industrial Direct Net Income 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=net-income&ticker=MSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();