BingEx (FLX) Return on Sales [ROS] (2023 - 2026)
BingEx's Return on Sales [ROS] came in at 0.77% for the quarter ended Jun 30, 2026, down 1.12 percentage points from 1.88% a year earlier and down 0.40 percentage points from the prior quarter.
BingEx (FLX) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BingEx reported Return on Sales [ROS] of 0.90%, up 2.67 percentage points year-over-year; for the year ended Dec 31, 2025, it was 1.13%, up 1.71 percentage points from the prior year.
- Return on Sales [ROS] carries a three-year change of +6.19 percentage points (years ended Dec 2022 to Dec 2025).
- Going back by year, Return on Sales [ROS] was -0.58% in the year ended Dec 31, 2024 (-0.81 pp), 0.24% in the year ended Dec 31, 2023 (+5.29 pp) and -5.06% in the year ended Dec 31, 2022.
- The five-year range for quarterly Return on Sales [ROS] is -14.84% (the quarter ended Dec 31, 2024) to 4.00% (the quarter ended Sep 30, 2024).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.73 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in the quarter ended Dec 31, 2025 (a gain of 15.13 percentage points), and the weakest in the quarter ended Dec 31, 2024 (a drop of 15.87 percentage points).
- Business Quant data shows FLX's Return on Sales [ROS] at 1.17% (quarter ended Mar 31, 2026), 0.29% (quarter ended Dec 31, 2025) and 1.40% (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 40.25% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 4.07% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 32.44% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 6.20% |
| 10 | BingEx | 110.43 Mn | -376.02 Mn | 14.08 Mn | 0.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.77% |
| Mar 31, 2026 | 1.17% |
| Dec 31, 2025 | 0.29% |
| Sep 30, 2025 | 1.40% |
| Jun 30, 2025 | 1.88% |
| Mar 31, 2025 | 1.03% |
| Dec 31, 2024 | -14.84% |
| Sep 30, 2024 | 4.00% |
| Jun 30, 2024 | 3.60% |
| Mar 31, 2024 | 3.47% |
| Dec 31, 2023 | 1.02% |
| Sep 30, 2023 | 1.39% |
BingEx 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=FLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FLX", "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=FLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();