Ferguson Enterprises (FERG) Net Long-Term Debt Issued (Repaid) (2023 - 2025)
Ferguson Enterprises (FERG) reported Non-Current Debt of $3.98 billion for Q3 2026.
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Analysis
Ferguson Enterprises (FERG) Net Long-Term Debt Issued (Repaid) (2023 - 2025) Analysis & Trends
At the end of FY2025, Ferguson Enterprises posted Non-Current Debt of $3.75 billion, down 0.6% from FY2024.
- By year, Non-Current Debt came in at $3.77 billion in FY2024 (+1.7%) and $3.71 billion in FY2023.
- Five-year quarterly Non-Current Debt spans a low of $3.45 billion in Q1 2025 and a high of $4.12 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 388.00 Mn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | -3.00 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | -20.00 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 980.00 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | -25.00 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 72.70 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | -1.18 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 19.69 Mn |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn | -63.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | -28.00 Mn |
| Jul 31, 2025 | 50.00 Mn |
| Mar 31, 2025 | -300.00 Mn |
| Jan 31, 2025 | 350.00 Mn |
| Oct 31, 2024 | 71.00 Mn |
| Jul 31, 2024 | 250.00 Mn |
| Apr 30, 2024 | -75.00 Mn |
| Jan 31, 2024 | 20.00 Mn |
| Oct 31, 2023 | -50.00 Mn |
API Access
Ferguson Enterprises Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();