Mohawk Industries (MHK) EBITDA (2009 - 2026)
Mohawk Industries (MHK) posted EBITDA of $412.8 million for Q2 2026, up 19.9% from $344.3 million a year earlier and up 40.6% from the prior quarter.
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Analysis
Mohawk Industries (MHK) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EBITDA at Mohawk Industries was $1.26 billion, up 1.8% year-over-year; for FY2025, it came in at $1.14 billion, down 14.2% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Mohawk Industries' EBITDA was $1.33 billion in FY2024 (+293.6%), $338.4 million in FY2023 (-59.7%), $839.7 million in FY2022 (-56.4%) and $1.93 billion in FY2021 (+54.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q2 2022.
- On a year-over-year basis, EBITDA increased in two of the last seven quarters, with an average decline of 4.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2023, with growth of 44.1%; the weakest was Q4 2022, with a decline of 44.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $293.6 million (Q1 2026), $244.6 million (Q4 2025) and $307 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 601.51 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Mohawk Industries | 7.02 Bn | 3.93 Bn | 795.10 Mn | 412.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 412.80 Mn |
| Apr 4, 2026 | 293.60 Mn |
| Dec 31, 2025 | 244.60 Mn |
| Sep 27, 2025 | 307.00 Mn |
| Jun 28, 2025 | 344.30 Mn |
| Mar 29, 2025 | 246.40 Mn |
| Dec 31, 2024 | 277.00 Mn |
| Sep 28, 2024 | 368.50 Mn |
| Jun 29, 2024 | 385.50 Mn |
| Mar 30, 2024 | 300.80 Mn |
| Dec 31, 2023 | 317.20 Mn |
| Sep 30, 2023 | -584.10 Mn |
| Jul 1, 2023 | 309.70 Mn |
| Apr 1, 2023 | 295.60 Mn |
| Dec 31, 2022 | 220.11 Mn |
| Oct 1, 2022 | -352.12 Mn |
| Jul 2, 2022 | 509.50 Mn |
| Apr 2, 2022 | 462.22 Mn |
| Dec 31, 2021 | 396.51 Mn |
| Oct 2, 2021 | 508.59 Mn |
API Access
Mohawk Industries EBITDA 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=ebitda&ticker=MHK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();