BingEx (FLX) Return on Assets [ROA] (2024 - 2026)
BingEx's Return on Assets [ROA] came in at -1.01% for the quarter ended Jun 30, 2026, up 17.50 percentage points from -18.51% a year earlier but down 7.07 percentage points from the prior quarter.
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Analysis
BingEx (FLX) Return on Assets [ROA] (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, BingEx's Return on Assets [ROA] was 8.66%, up 21.56 percentage points from the prior year.
- Going back by year, Return on Assets [ROA] was -12.90% in the year ended Dec 31, 2024.
- The five-year range for quarterly Return on Assets [ROA] is -18.51% (the quarter ended Jun 30, 2025) to 8.58% (the quarter ended Dec 31, 2025).
- Year-over-year, Return on Assets [ROA] has increased for three consecutive quarters.
- Business Quant data shows FLX's Return on Assets [ROA] at 6.07% (quarter ended Mar 31, 2026), 8.58% (quarter ended Dec 31, 2025) and -16.02% (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 10.41% |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 7.32% |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 4.35% |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 6.39% |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 5.84% |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 4.58% |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 4.63% |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 19.12% |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 9.98% |
| 10 | BingEx | 106.04 Mn | -380.41 Mn | 14.08 Mn | -1.01% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.01% |
| Mar 31, 2026 | 6.07% |
| Dec 31, 2025 | 8.58% |
| Sep 30, 2025 | -16.02% |
| Jun 30, 2025 | -18.51% |
| Mar 31, 2025 | -18.08% |
| Dec 31, 2024 | -12.93% |
API Access
BingEx Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=FLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=FLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();