World Kinect (WKC) Operating Expenses (2009 - 2026)
World Kinect's Operating Expenses was $269.1 million in Q2 2026, down 53.4% from $577.5 million a year earlier but up 25.2% from the prior quarter.
World Kinect (WKC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, World Kinect's Operating Expenses was $1.18 billion through Jun 30, 2026, down 4.6% year-over-year; for FY2025, it was $1.51 billion, up 85.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $815.7 million in FY2024 (-5.2%), $860.2 million in FY2023 (+5.4%), $815.8 million in FY2022 (+26.4%) and $645.6 million in FY2021 (-9.6%).
- Quarterly Operating Expenses has moved between $155.8 million (Q3 2021) and $577.5 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 31.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 188.8%); the worst was Q2 2026 (a decline of 53.4%).
- Per Business Quant data, WKC's Operating Expenses in the three quarters before Q2 2026 was $214.9 million (Q1 2026), $511.3 million (Q4 2025) and $186.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Valero Energy | 112.13 Bn | 92.34 Bn | 5.47 Bn | 266.00 Mn |
| 2 | Marathon Petroleum | 109.39 Bn | 99.79 Bn | 9.27 Bn | 45.02 Bn |
| 3 | HF Sinclair | 18.88 Bn | 13.11 Bn | 1.57 Bn | 9.22 Bn |
| 4 | Sunoco | 10.20 Bn | 4.58 Bn | 1.46 Bn | 13.68 Bn |
| 5 | PBF Energy | 8.88 Bn | 6.58 Bn | 1.15 Bn | 10.41 Bn |
| 6 | Ultrapar Holdings | 7.63 Bn | 1.41 Bn | 912.61 Mn | -124.47 Mn |
| 7 | Cvr Energy | 5.10 Bn | 2.89 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Icahn Enterprises | 4.88 Bn | -880.12 Mn | - | 3.36 Bn |
| 9 | Delek US Holdings | 4.13 Bn | 1.86 Bn | 365.10 Mn | 3.78 Bn |
| 10 | World Kinect | 1.80 Bn | 858.75 Mn | 365.10 Mn | 269.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.10 Mn |
| Mar 31, 2026 | 214.90 Mn |
| Dec 31, 2025 | 511.30 Mn |
| Sep 30, 2025 | 186.80 Mn |
| Jun 30, 2025 | 577.50 Mn |
| Mar 31, 2025 | 237.00 Mn |
| Dec 31, 2024 | 229.00 Mn |
| Sep 30, 2024 | 195.80 Mn |
| Jun 30, 2024 | 200.00 Mn |
| Mar 31, 2024 | 190.80 Mn |
| Dec 31, 2023 | 247.70 Mn |
| Sep 30, 2023 | 208.20 Mn |
| Jun 30, 2023 | 206.20 Mn |
| Mar 31, 2023 | 198.20 Mn |
| Dec 31, 2022 | 203.50 Mn |
| Sep 30, 2022 | 222.00 Mn |
| Jun 30, 2022 | 200.60 Mn |
| Mar 31, 2022 | 189.60 Mn |
| Dec 31, 2021 | 182.90 Mn |
| Sep 30, 2021 | 155.80 Mn |
World Kinect 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=WKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WKC", "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=WKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();