Ferguson Enterprises (FERG) Net Cash Flow (2023 - 2026)
Ferguson Enterprises' Net Cash Flow was $265 million in Q3 2026, compared with -$151 million a year earlier.
Ferguson Enterprises (FERG) Net Cash Flow (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferguson Enterprises' Net Cash Flow was $115 million through Mar 31, 2026; for FY2025, it came in at $79 million.
- In earlier years, Net Cash Flow was -$41 million in FY2024, -$134 million in FY2023 and -$541 million in FY2022.
- The Q3 2026 figure marks the highest quarterly Net Cash Flow in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | -43.00 Mn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | -100.00 Mn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | -104.40 Mn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 265.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 3.00 Mn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | -14.20 Mn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 111.90 Mn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | -44.53 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | -27.30 Mn |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn | 28.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 265.00 Mn |
| Oct 31, 2025 | -150.00 Mn |
| Jul 31, 2025 | 151.00 Mn |
| Mar 31, 2025 | -151.00 Mn |
| Jan 31, 2025 | 172.00 Mn |
| Oct 31, 2024 | 32.00 Mn |
| Jul 31, 2024 | -135.00 Mn |
| Apr 30, 2024 | 59.00 Mn |
| Jan 31, 2024 | -113.00 Mn |
| Oct 31, 2023 | 148.00 Mn |
Ferguson Enterprises Net Cash Flow 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=net-cash-flow&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "FERG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();