BingEx (FLX) Operating Leases (2023 - 2026)
BingEx (FLX) recorded Operating Leases of $1.32 million in the quarter ended Jun 30, 2026, down 60.9% from $3.38 million a year earlier and down 16.0% from the prior quarter.
BingEx (FLX) Operating Leases (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, BingEx reported Operating Leases of $1.84 million, down 54.3% from the prior year.
- Across earlier years, Operating Leases came in at $4.03 million in the year ended Dec 31, 2024 and -$11.25 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Leases since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with an average decline of 56.8% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $1.58 million (quarter ended Mar 31, 2026), $1.82 million (quarter ended Dec 31, 2025) and $2.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | BingEx | 101.65 Mn | -384.80 Mn | 14.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 1.58 Mn |
| Dec 31, 2025 | 1.82 Mn |
| Sep 30, 2025 | 2.13 Mn |
| Jun 30, 2025 | 3.38 Mn |
| Mar 31, 2025 | 3.65 Mn |
| Dec 31, 2024 | 4.09 Mn |
| Sep 30, 2024 | 4.61 Mn |
| Dec 31, 2023 | -11.05 Mn |
BingEx Operating Leases 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=operating-leases&ticker=FLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();