Oshkosh (OSK) Receivables (2009 - 2026)
Oshkosh (OSK) posted Receivables of $1.7 billion for Q2 2026, up 9.06% on a QoQ basis from $1.5 billion in Q1 2026, and up 8.87% year-over-year from $1.5 billion in Q2 2025.
Oshkosh (OSK) Receivables (2009 - 2026) Analysis & Trends
Oshkosh has reported Receivables for 18 years, with the latest figure at $1.7 billion in Q2 2026.
- On a quarterly basis, Receivables rose 8.87% year-over-year to $1.7 billion in Q2 2026; TTM through Jun 2026 was $1.7 billion, a 8.87% increase from a year earlier, with the FY2025 full-year figure at $1.5 billion, up 16.61% from the prior year.
- Receivables was $1.7 billion for Q2 2026 at Oshkosh, up from $1.5 billion in the prior quarter.
- The five-year high for Receivables was $1.7 billion in Q2 2026, with the low at $995.9 million in Q1 2022.
- Average Receivables over 5 years is $1.4 billion, with a median of $1.5 billion recorded in 2025.
- The sharpest annual moves came in 2023 and 2025: Receivables surged 45.39% in 2023, then fell 7.54% in 2025.
- Over 5 years, Receivables stood at $1.2 billion in 2022, then grew by 14.67% to $1.3 billion in 2023, then fell by 4.34% to $1.3 billion in 2024, then gained by 16.61% to $1.5 billion in 2025, then advanced by 12.38% to $1.7 billion in 2026.
- The last three Receivables figures came in at $1.7 billion (Q2 2026), $1.5 billion (Q1 2026), and $1.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 10.19 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 3.75 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 3.93 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 3.65 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Oshkosh | 8.53 Bn | 8.13 Bn | 480.30 Mn | 1.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Bn |
| Mar 31, 2026 | 1.54 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.49 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.44 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.60 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.39 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 995.90 Mn |
| Dec 31, 2021 | 982.00 Mn |
| Sep 30, 2021 | 1.02 Bn |
Oshkosh Receivables 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=receivables&ticker=OSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();