Core & Main (CNM) Operating Expenses (2020 - 2026)
Core & Main's (CNM) quarterly Operating Expenses came in at $346.0 million in Q3 2026, little changed year-over-year from $347.0 million in Q3 2025, and up 0.87% on a QoQ basis from $343.0 million in Q2 2026.
Core & Main (CNM) Operating Expenses (2020 - 2026) Analysis & Trends
Core & Main (CNM) has 7 years of Operating Expenses data on file, last reported at $346.0 million in Q3 2026.
- On a quarterly basis, Operating Expenses changed 0.29% year-over-year to $346.0 million in Q3 2026; TTM through Aug 2026 was $1.3 billion, a 0.53% increase from a year earlier, with the FY2026 full-year figure at $1.3 billion, up 6.03% from the prior year.
- Operating Expenses for Q3 2026 stood at $346.0 million, up from $343.0 million in the prior quarter.
- Across five years, Operating Expenses topped out at $347.0 million in Q3 2025 and bottomed at $218.0 million in Q1 2022.
- Historically, Operating Expenses has averaged $294.9 million across 5 years, with a median of $300.0 million in 2024.
- The widest annual swing landed in 2022, when Operating Expenses advanced 28.19%; it then fell 5.2% in 2026.
- Year by year, Operating Expenses stood at $266.0 million in 2022, then climbed by 4.14% to $277.0 million in 2023, then rose by 15.52% to $320.0 million in 2024, then climbed by 6.56% to $341.0 million in 2025, then grew by 1.47% to $346.0 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $346.0 million in Q3 2026, $343.0 million in Q2 2026, and $310.0 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 346.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 346.00 Mn |
| May 3, 2026 | 343.00 Mn |
| Feb 1, 2026 | 310.00 Mn |
| Nov 2, 2025 | 341.00 Mn |
| Aug 3, 2025 | 347.00 Mn |
| May 4, 2025 | 339.00 Mn |
| Feb 2, 2025 | 327.00 Mn |
| Oct 27, 2024 | 320.00 Mn |
| Jul 28, 2024 | 314.00 Mn |
| Apr 28, 2024 | 300.00 Mn |
| Jan 28, 2024 | 268.00 Mn |
| Oct 29, 2023 | 277.00 Mn |
| Jul 30, 2023 | 275.00 Mn |
| Apr 30, 2023 | 258.00 Mn |
| Jan 29, 2023 | 249.00 Mn |
| Oct 30, 2022 | 266.00 Mn |
| Jul 31, 2022 | 264.00 Mn |
| May 1, 2022 | 241.00 Mn |
| Jan 30, 2022 | 218.00 Mn |
| Oct 31, 2021 | 224.00 Mn |
Core & Main Operating 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=operating-expenses&ticker=CNM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CNM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();