WF International (WXM) Operating Leases (2023 - 2026)
WF International (WXM) posted Operating Leases of $115,193 for the quarter ended Mar 31, 2026, up 480.6% from $19,841 a year earlier.
Analysis
WF International (WXM) Operating Leases (2023 - 2026) Analysis & Trends
As of Sep 30, 2025, WF International's Operating Leases came in at $163,120, up 293.8% from the prior year.
- In prior years, WF International's Operating Leases was $41,425 in the year ended Sep 30, 2024 (-43.3%) and $73,042 in the year ended Sep 30, 2023.
- Quarterly Operating Leases has run from a low of $19,841 in the quarter ended Mar 31, 2025 to a high of $163,120 in the quarter ended Sep 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | WF International | 2.46 Mn | -7.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 115,193.00 |
| Sep 30, 2025 | 163,120.00 |
| Mar 31, 2025 | 19,841.00 |
| Sep 30, 2024 | 41,425.00 |
| Sep 30, 2023 | 73,042.00 |
API Access
WF International 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=WXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "WXM", "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=WXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();