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 | 178.63 Bn | 170.88 Bn | - | 15.93% |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 13.38% |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 11.55% |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 7.22% |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 7.01% |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 9.77% |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 10.05% |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 8.46% |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 29.43% |
| 10 | Flyexclusive | 107.97 Mn | 129.18 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();