WF International (WXM) Cash & Equivalents (2023 - 2026)
WF International's Cash & Equivalents was $4.7 million in the quarter ended Mar 31, 2026, up 163.9% from $1.78 million a year earlier.
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Analysis
WF International (WXM) Cash & Equivalents (2023 - 2026) Analysis & Trends
As of Sep 30, 2025, Cash & Equivalents at WF International came in at $2.91 million, up 260.1% from the prior year.
- Cash & Equivalents shows a three-year compound annual growth rate of 71.9% (years ended Sep 2022 to Sep 2025).
- In earlier years, Cash & Equivalents was $808,915 in the year ended Sep 30, 2024 (+95.1%), $414,619 in the year ended Sep 30, 2023 (-27.7%) and $573,266 in the year ended Sep 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.23 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 618.00 Mn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 1.35 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 866.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 323.10 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 610.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 388.10 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 546.70 Mn |
| 10 | WF International | 1.53 Mn | -9.71 Mn | - | 4.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.70 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Sep 30, 2024 | 1.16 Mn |
| Sep 30, 2023 | 414,619.00 |
API Access
WF International Cash & Equivalents 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=cash-and-equivalents&ticker=WXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();