Mohawk Industries (MHK) Operating Expenses (2009 - 2026)
Mohawk Industries' Operating Expenses was $541.4 million in Q2 2026, up 3.0% from $525.7 million a year earlier and up 2.1% from the prior quarter.
Mohawk Industries (MHK) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mohawk Industries' Operating Expenses was $2.12 billion through Jul 4, 2026, up 7.0% year-over-year; for FY2025, it came in at $2.07 billion, up 4.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.98 billion in FY2024 (-6.4%), $2.12 billion in FY2023 (+5.8%), $2 billion in FY2022 (+3.6%) and $1.93 billion in FY2021 (+7.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2023.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 14.6%); the worst was Q3 2024 (a decline of 12.6%).
- Per Business Quant data, MHK's Operating Expenses in the three quarters before Q2 2026 was $530.1 million (Q1 2026), $534 million (Q4 2025) and $518.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.66 Bn | 96.38 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.87 Bn | 87.60 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.13 Bn | 44.38 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.20 Bn | 40.51 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.52 Bn | 23.94 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.24 Bn | 14.30 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.86 Bn | 12.72 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.54 Bn | 9.88 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.37 Bn | 12.08 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Mohawk Industries | 7.17 Bn | 4.07 Bn | 795.10 Mn | 541.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 541.40 Mn |
| Apr 4, 2026 | 530.10 Mn |
| Dec 31, 2025 | 534.00 Mn |
| Sep 27, 2025 | 518.20 Mn |
| Jun 28, 2025 | 525.70 Mn |
| Mar 29, 2025 | 487.30 Mn |
| Dec 31, 2024 | 491.80 Mn |
| Sep 28, 2024 | 480.30 Mn |
| Jun 29, 2024 | 509.80 Mn |
| Mar 30, 2024 | 502.90 Mn |
| Dec 31, 2023 | 473.50 Mn |
| Sep 30, 2023 | 549.60 Mn |
| Jul 1, 2023 | 578.90 Mn |
| Apr 1, 2023 | 517.70 Mn |
| Dec 31, 2022 | 493.32 Mn |
| Oct 1, 2022 | 523.48 Mn |
| Jul 2, 2022 | 505.27 Mn |
| Apr 2, 2022 | 481.33 Mn |
| Dec 31, 2021 | 484.35 Mn |
| Oct 2, 2021 | 477.34 Mn |
Mohawk Industries 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=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MHK", "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=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();