BingEx (FLX) Asset Utilization Ratio (2024 - 2026)
BingEx's Asset Utilization Ratio was 3.31 in the quarter ended Jun 30, 2026, down 5.2% from 3.49 a year earlier but up 3.7% from the prior quarter.
BingEx (FLX) Asset Utilization Ratio (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Asset Utilization Ratio at BingEx came in at 3.23, down 18.0% from the prior year.
- In earlier years, Asset Utilization Ratio was 3.94 in the year ended Dec 31, 2024.
- Quarterly Asset Utilization Ratio has moved between 3.11 (the quarter ended Dec 31, 2025) and 4.10 (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Asset Utilization Ratio has declined for three straight quarters.
- Per Business Quant data, FLX's Asset Utilization Ratio in the three quarters before the quarter ended Jun 30, 2026 was 3.19 (quarter ended Mar 31, 2026), 3.11 (quarter ended Dec 31, 2025) and 3.18 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 0.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.33 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.17 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.26 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 0.28 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 0.98 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 0.80 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 0.98 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 0.82 |
| 10 | BingEx | 101.65 Mn | -384.80 Mn | 14.08 Mn | 3.31 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 |
| Mar 31, 2026 | 3.19 |
| Dec 31, 2025 | 3.11 |
| Sep 30, 2025 | 3.18 |
| Jun 30, 2025 | 3.49 |
| Mar 31, 2025 | 3.61 |
| Dec 31, 2024 | 4.10 |
BingEx Asset Utilization Ratio 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=asset-utilization-ratio&ticker=FLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=FLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();