WF International (WXM) Accumulated Expenses (2023 - 2026)
WF International's Accumulated Expenses came in at $186,225 for the quarter ended Mar 31, 2026, unchanged from $186,225 a year earlier.
Analysis
WF International (WXM) Accumulated Expenses (2023 - 2026) Analysis & Trends
Going back to the quarter ended Sep 30, 2023, WF International's Accumulated Expenses data covers 5 quarters.
- Going back by year, Accumulated Expenses was $186,225 in the year ended Sep 30, 2024 (+150.0%) and $74,492 in the year ended Sep 30, 2023.
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 | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | WF International | 2.62 Mn | -7.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 186,225.00 |
| Sep 30, 2025 | 186,225.00 |
| Mar 31, 2025 | 186,225.00 |
| Sep 30, 2024 | 186,225.00 |
| Sep 30, 2023 | 74,492.00 |
API Access
WF International Accumulated Expenses 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=accumulated-expenses&ticker=WXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();