Oshkosh (OSK) Selling, General & Administrative (2009 - 2026)
Oshkosh (OSK) reported Selling, General & Administrative of $222.7 million for Q2 2026, up 4.4% from $213.3 million a year earlier and up 3.3% from the prior quarter.
Oshkosh (OSK) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oshkosh's Selling, General & Administrative came in at $832.7 million, down 3.2% year-over-year; for FY2025, it came in at $818.7 million, down 4.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $852.4 million in FY2024 (+5.2%), $810.4 million in FY2023 (+22.3%), $662.8 million in FY2022 (+339.2%) and $150.9 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q3 2024.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with an average decline of 0.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 154.1%); the low point was Q3 2025 (a decline of 13.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $215.6 million (Q1 2026), $198.2 million (Q4 2025) and $196.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 494.40 Mn |
| 10 | Oshkosh | 8.31 Bn | 6.96 Bn | 480.30 Mn | 222.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.70 Mn |
| Mar 31, 2026 | 215.60 Mn |
| Dec 31, 2025 | 198.20 Mn |
| Sep 30, 2025 | 196.20 Mn |
| Jun 30, 2025 | 213.30 Mn |
| Mar 31, 2025 | 211.00 Mn |
| Dec 31, 2024 | 209.20 Mn |
| Sep 30, 2024 | 226.40 Mn |
| Jun 30, 2024 | 220.00 Mn |
| Mar 31, 2024 | 196.80 Mn |
| Dec 31, 2023 | 224.30 Mn |
| Sep 30, 2023 | 201.60 Mn |
| Jun 30, 2023 | 185.40 Mn |
| Mar 31, 2023 | 199.10 Mn |
| Sep 30, 2022 | 166.30 Mn |
| Jun 30, 2022 | 167.90 Mn |
| Mar 31, 2022 | 169.20 Mn |
| Sep 30, 2021 | 171.50 Mn |
| Jun 30, 2021 | 177.60 Mn |
| Mar 31, 2021 | 172.00 Mn |
Oshkosh 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=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "OSK", "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=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();