Flyexclusive (FLYX) Return on Capital Employed [ROCE] (2021 - 2026)
Flyexclusive (FLYX) posted Return on Capital Employed [ROCE] of -21.36% for Q2 2026, up 9.74 percentage points from -31.09% a year earlier and up 4.07 percentage points from the prior quarter.
Flyexclusive (FLYX) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Flyexclusive's Return on Capital Employed [ROCE] came in at -21.55%, up 13.69 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of -15.99 percentage points (FY2022 to FY2025).
- In prior years, Flyexclusive's Return on Capital Employed [ROCE] was -35.24% in FY2024 (-22.19 pp), -13.05% in FY2023 (-7.49 pp) and -5.56% in FY2022.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of +8.52 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2024, with a gain of 23.33 percentage points; the weakest was Q3 2023, with a drop of 63.69 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -25.42% (Q1 2026), -27.13% (Q4 2025) and -30.03% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 15.69% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 6.84% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 11.61% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 9.67% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 8.86% |
| 10 | Flyexclusive | 115.69 Mn | 136.81 Mn | 22.69 Mn | -21.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.36% |
| Mar 31, 2026 | -25.42% |
| Dec 31, 2025 | -27.13% |
| Sep 30, 2025 | -30.03% |
| Jun 30, 2025 | -31.09% |
| Mar 31, 2025 | -28.00% |
| Dec 31, 2024 | -37.98% |
| Sep 30, 2024 | -41.65% |
| Jun 30, 2024 | -28.82% |
| Mar 31, 2024 | -17.90% |
| Dec 31, 2023 | -60.37% |
| Sep 30, 2023 | -64.99% |
| Jun 30, 2023 | -7.11% |
| Mar 31, 2023 | -5.70% |
| Dec 31, 2022 | -5.55% |
| Sep 30, 2022 | -1.30% |
| Jun 30, 2022 | -0.86% |
| Mar 31, 2022 | -0.61% |
| Dec 31, 2021 | -0.44% |
Flyexclusive Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FLYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();