Kennametal (KMT) Operating Expenses (2009 - 2026)
Kennametal (KMT) reported Operating Expenses of $128.29 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.2% from $105.86 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Kennametal (KMT) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kennametal posted Operating Expenses of $487.9 million, up 13.2% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $430.84 million in FY2025 (-0.5%), $433.16 million in FY2024 (-0.9%), $437.29 million in FY2023 (+4.3%) and $419.09 million in FY2022 (+2.9%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q4 2018.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2026 (growth of 21.3%); the low point was fiscal Q4 2022 (a decline of 5.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $126.16 million (Q3 2026), $118.83 million (Q2 2026) and $114.62 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Kennametal | 1.85 Bn | 1.29 Bn | 513.57 Mn | 132.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.17 Mn |
| Jun 30, 2026 | 128.29 Mn |
| Mar 31, 2026 | 126.16 Mn |
| Dec 31, 2025 | 118.83 Mn |
| Sep 30, 2025 | 114.62 Mn |
| Jun 30, 2025 | 105.86 Mn |
| Mar 31, 2025 | 104.01 Mn |
| Dec 31, 2024 | 109.31 Mn |
| Sep 30, 2024 | 111.65 Mn |
| Jun 30, 2024 | 105.49 Mn |
| Mar 31, 2024 | 108.68 Mn |
| Dec 31, 2023 | 107.34 Mn |
| Sep 30, 2023 | 111.65 Mn |
| Jun 30, 2023 | 109.98 Mn |
| Mar 31, 2023 | 113.27 Mn |
| Dec 31, 2022 | 105.76 Mn |
| Sep 30, 2022 | 108.28 Mn |
| Jun 30, 2022 | 102.67 Mn |
| Mar 31, 2022 | 107.08 Mn |
| Dec 31, 2021 | 106.65 Mn |
API Access
Kennametal 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=KMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KMT", "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=KMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();