Flyexclusive (FLYX) Return on Sales [ROS] (2023 - 2026)
Flyexclusive (FLYX) recorded Return on Sales [ROS] of -5.18% in Q2 2026, up 8.36 percentage points from -13.53% a year earlier and up 4.82 percentage points from the prior quarter.
Flyexclusive (FLYX) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a TTM basis, Flyexclusive's Return on Sales [ROS] came in at -8.79% as of Jun 30, 2026, up 8.64 percentage points year-over-year; for FY2025, it came in at -12.57%, up 12.73 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of -8.72 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -25.29% in FY2024 (-13.46 pp), -11.83% in FY2023 (-7.99 pp) and -3.85% in FY2022.
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for seven consecutive quarters, with an average year-over-year change of +10.31 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 17.57 percentage points in Q1 2025, against a drop of 38.01 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -9.99% (Q1 2026), -8.47% (Q4 2025) and -12.26% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 40.89% |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 39.08% |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 7.63% |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 35.25% |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 6.20% |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 32.61% |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 28.46% |
| 10 | Flyexclusive | 107.97 Mn | 129.18 Mn | 22.69 Mn | -5.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.18% |
| Mar 31, 2026 | -9.99% |
| Dec 31, 2025 | -8.47% |
| Sep 30, 2025 | -12.26% |
| Jun 30, 2025 | -13.53% |
| Mar 31, 2025 | -16.72% |
| Dec 31, 2024 | -13.80% |
| Sep 30, 2024 | -27.18% |
| Jun 30, 2024 | -27.64% |
| Mar 31, 2024 | -34.29% |
| Dec 31, 2023 | -30.88% |
| Sep 30, 2023 | -25.58% |
| Jun 30, 2023 | 10.36% |
| Mar 31, 2023 | -10.91% |
Flyexclusive Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FLYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();