Msc Industrial Direct (MSM) Total Liabilities (2010 - 2026)
Msc Industrial Direct's Total Liabilities came in at $1.08 billion for fiscal Q4 2026 (quarter ended Aug 29, 2026), up 1.7% from $1.07 billion a year earlier and up 0.7% from the prior quarter.
Msc Industrial Direct (MSM) Total Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Msc Industrial Direct's Total Liabilities data covers 65 quarters.
- Total Liabilities has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.07 billion in FY2025 (+0.4%), $1.06 billion in FY2024 (+0.9%), $1.05 billion in FY2023 (-23.1%) and $1.37 billion in FY2022 (+5.1%).
- The five-year range for quarterly Total Liabilities is $1.02 billion (fiscal Q3 2023) to $1.37 billion (fiscal Q4 2022).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with growth averaging 0.3%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2022 (growth of 12.8%), and the weakest in fiscal Q4 2023 (a decline of 23.1%).
- Business Quant data shows MSM's Total Liabilities at $1.08 billion (Q3 2026), $1.07 billion (Q2 2026) and $1.1 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 23.09 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 5.11 Bn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 3.88 Bn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 13.34 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 | 1.10 Bn |
| 10 | Msc Industrial Direct | 6.71 Bn | 6.48 Bn | 438.58 Mn | 1.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 1.08 Bn |
| May 30, 2026 | 1.08 Bn |
| Feb 28, 2026 | 1.07 Bn |
| Nov 29, 2025 | 1.10 Bn |
| Aug 30, 2025 | 1.07 Bn |
| May 31, 2025 | 1.10 Bn |
| Mar 1, 2025 | 1.10 Bn |
| Nov 30, 2024 | 1.09 Bn |
| Aug 31, 2024 | 1.06 Bn |
| Jun 1, 2024 | 1.05 Bn |
| Mar 2, 2024 | 1.10 Bn |
| Dec 2, 2023 | 1.10 Bn |
| Sep 2, 2023 | 1.05 Bn |
| Jun 3, 2023 | 1.02 Bn |
| Mar 4, 2023 | 1.09 Bn |
| Dec 3, 2022 | 1.35 Bn |
| Sep 3, 2022 | 1.37 Bn |
| May 28, 2022 | 1.31 Bn |
| Feb 26, 2022 | 1.33 Bn |
| Nov 27, 2021 | 1.30 Bn |
Msc Industrial Direct Total Liabilities 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=total-liabilities&ticker=MSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();