Timken (TKR) Operating Expenses (2009 - 2026)
Timken (TKR) recorded Operating Expenses of $293.8 million in Q2 2026, up 52.5% from $192.6 million a year earlier and up 43.5% from the prior quarter.
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Analysis
Timken (TKR) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Timken's Operating Expenses came in at $883.9 million as of Jun 30, 2026, up 14.3% year-over-year; for FY2025, it came in at $773.6 million, up 1.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $765.4 million in FY2024 (-2.7%), $786.3 million in FY2023 (+15.4%), $681.2 million in FY2022 (+15.6%) and $589.4 million in FY2021 (+6.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q2 2016.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 52.5% in Q2 2026, against a decline of 10.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $204.8 million (Q1 2026), $195.9 million (Q4 2025) and $189.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Timken | 8.09 Bn | 6.71 Bn | 399.30 Mn | 293.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.80 Mn |
| Mar 31, 2026 | 204.80 Mn |
| Dec 31, 2025 | 195.90 Mn |
| Sep 30, 2025 | 189.40 Mn |
| Jun 30, 2025 | 192.60 Mn |
| Mar 31, 2025 | 195.70 Mn |
| Dec 31, 2024 | 192.80 Mn |
| Sep 30, 2024 | 192.20 Mn |
| Jun 30, 2024 | 187.40 Mn |
| Mar 31, 2024 | 193.00 Mn |
| Dec 31, 2023 | 194.70 Mn |
| Sep 30, 2023 | 188.50 Mn |
| Jun 30, 2023 | 187.40 Mn |
| Mar 31, 2023 | 215.70 Mn |
| Dec 31, 2022 | 169.10 Mn |
| Sep 30, 2022 | 191.10 Mn |
| Jun 30, 2022 | 165.90 Mn |
| Mar 31, 2022 | 155.10 Mn |
| Dec 31, 2021 | 147.00 Mn |
| Sep 30, 2021 | 143.60 Mn |
API Access
Timken 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=TKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TKR", "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=TKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();