Timken (TKR) Selling, General & Administrative (2009 - 2026)
Timken's Selling, General & Administrative came in at $205.9 million for Q2 2026, up 8.5% from $189.7 million a year earlier and up 2.3% from the prior quarter.
Timken (TKR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Timken reported Selling, General & Administrative of $780.9 million, up 3.9% year-over-year; for FY2025, it was $748.3 million, down 0.5% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $752 million in FY2024 (+1.5%), $740.8 million in FY2023 (+16.3%), $637.1 million in FY2022 (+9.8%) and $580.5 million in FY2021 (+8.7%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q2 2016.
- Year-over-year, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 2.5%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2023 (growth of 21.2%), and the weakest in Q1 2025 (a decline of 3.1%).
- Business Quant data shows TKR's Selling, General & Administrative at $201.2 million (Q1 2026), $187.4 million (Q4 2025) and $186.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.24 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 | 494.40 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 | 1.06 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 | 205.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.90 Mn |
| Mar 31, 2026 | 201.20 Mn |
| Dec 31, 2025 | 187.40 Mn |
| Sep 30, 2025 | 186.40 Mn |
| Jun 30, 2025 | 189.70 Mn |
| Mar 31, 2025 | 184.80 Mn |
| Dec 31, 2024 | 187.50 Mn |
| Sep 30, 2024 | 189.70 Mn |
| Jun 30, 2024 | 184.10 Mn |
| Mar 31, 2024 | 190.70 Mn |
| Dec 31, 2023 | 189.50 Mn |
| Sep 30, 2023 | 179.60 Mn |
| Jun 30, 2023 | 184.90 Mn |
| Mar 31, 2023 | 186.80 Mn |
| Dec 31, 2022 | 167.30 Mn |
| Sep 30, 2022 | 159.80 Mn |
| Jun 30, 2022 | 155.90 Mn |
| Mar 31, 2022 | 154.10 Mn |
| Dec 31, 2021 | 146.30 Mn |
| Sep 30, 2021 | 140.70 Mn |
Timken Selling, General & Administrative 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=selling-general-and-administrative&ticker=TKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();