World Kinect (WKC) EV to EBITDA (2010 - 2026)
World Kinect's EV to EBITDA was 55.15 in Q2 2026.
Analysis
World Kinect (WKC) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, World Kinect's EV to EBITDA was 26.24 through Jun 30, 2026; for FY2024, it came in at 3.74, up 6.1% from FY2023.
- In earlier years, EV to EBITDA was 3.52 in FY2023 (-4.4%), 3.68 in FY2022 (-16.5%), 4.41 in FY2021 (-24.5%) and 5.83 in FY2020 (-14.7%).
- The Q2 2026 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2010.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2021 (growth of 123.7%); the worst was Q2 2022 (a decline of 45.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Valero Energy | 112.13 Bn | 92.34 Bn | 5.47 Bn |
| 2 | Marathon Petroleum | 109.39 Bn | 99.79 Bn | 9.27 Bn |
| 3 | HF Sinclair | 18.88 Bn | 13.11 Bn | 1.57 Bn |
| 4 | Sunoco | 10.20 Bn | 4.58 Bn | 1.46 Bn |
| 5 | PBF Energy | 8.88 Bn | 6.58 Bn | 1.15 Bn |
| 6 | Ultrapar Holdings | 7.63 Bn | 1.41 Bn | 912.61 Mn |
| 7 | Cvr Energy | 5.10 Bn | 2.89 Bn | 117.00 Mn |
| 8 | Icahn Enterprises | 4.88 Bn | -880.12 Mn | - |
| 9 | Delek US Holdings | 4.13 Bn | 1.86 Bn | 365.10 Mn |
| 10 | World Kinect | 1.80 Bn | 858.75 Mn | 365.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.15 |
| Mar 31, 2025 | 4.67 |
| Dec 31, 2024 | 3.74 |
| Sep 30, 2024 | 5.34 |
| Jun 30, 2024 | 3.74 |
| Mar 31, 2024 | 4.22 |
| Dec 31, 2023 | 3.52 |
| Sep 30, 2023 | 2.57 |
| Jun 30, 2023 | 2.25 |
| Mar 31, 2023 | 3.41 |
| Dec 31, 2022 | 3.68 |
| Sep 30, 2022 | 3.59 |
| Jun 30, 2022 | 3.38 |
| Mar 31, 2022 | 6.14 |
| Dec 31, 2021 | 4.41 |
| Sep 30, 2021 | 6.36 |
| Jun 30, 2021 | 6.17 |
| Mar 31, 2021 | 7.88 |
| Dec 31, 2020 | 5.83 |
| Sep 30, 2020 | 2.85 |
API Access
World Kinect EV to EBITDA 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=ev-to-ebitda&ticker=WKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=WKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();