Msc Industrial Direct (MSM) EPS (Diluted) (2009 - 2026)
Msc Industrial Direct (MSM) posted EPS (Diluted) of $1.44 for fiscal Q3 2026 (quarter ended May 30, 2026), up 40.8% from $1.02 a year earlier and up 88.9% from the prior quarter.
Msc Industrial Direct (MSM) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 30, 2026, EPS (Diluted) at Msc Industrial Direct was $4.13, up 16.0% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $3.57, down 22.2% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior fiscal years, Msc Industrial Direct's EPS (Diluted) was $4.58 in FY2024 (-25.0%), $6.11 in FY2023 (+0.7%), $6.06 in FY2022 (+56.8%) and $3.87 in FY2021 (-14.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly EPS (Diluted) since fiscal Q4 2023.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with an average decline of 7.7% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q2 2022, with growth of 287.8%; the weakest was fiscal Q4 2024, with a decline of 36.7%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $0.76 (Q2 2026), $0.93 (Q1 2026) and $1.01 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 12.02 |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 12.08 |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 0.33 |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 2.13 |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 1.06 |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 6.29 |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 4.23 |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 3.13 |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 4.00 |
| 10 | Msc Industrial Direct | 7.38 Bn | 7.16 Bn | 430.41 Mn | 1.44 |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 1.44 |
| Feb 28, 2026 | 0.76 |
| Nov 29, 2025 | 0.93 |
| Aug 30, 2025 | 1.01 |
| May 31, 2025 | 1.02 |
| Mar 1, 2025 | 0.70 |
| Nov 30, 2024 | 0.83 |
| Aug 31, 2024 | 0.99 |
| Jun 1, 2024 | 1.27 |
| Mar 2, 2024 | 1.10 |
| Dec 2, 2023 | 1.22 |
| Sep 2, 2023 | 1.56 |
| Jun 3, 2023 | 1.69 |
| Mar 4, 2023 | 1.41 |
| Dec 3, 2022 | 1.45 |
| Sep 3, 2022 | 1.86 |
| May 28, 2022 | 1.78 |
| Feb 26, 2022 | 1.25 |
| Nov 27, 2021 | 1.18 |
| Aug 28, 2021 | 1.18 |
Msc Industrial Direct EPS (Diluted) 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=eps-diluted&ticker=MSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();