Ermenegildo Zegna (ZGN) Non-Current Debt (2021 - 2026)
Ermenegildo Zegna (ZGN) posted Non-Current Debt of $148.95 million for Q2 2026, down 24.6% from $197.43 million a year earlier.
Analysis
Ermenegildo Zegna (ZGN) Non-Current Debt (2021 - 2026) Analysis & Trends
At the end of FY2025, Ermenegildo Zegna's Non-Current Debt came in at $183.17 million, down 13.8% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -22.1% (FY2020 to FY2025).
- In prior years, Ermenegildo Zegna's Non-Current Debt was $212.57 million in FY2024 (+73.5%), $122.54 million in FY2023 (-37.1%), $194.86 million in FY2022 (-65.1%) and $558.14 million in FY2021 (-12.5%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Debt since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 5.94 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.24 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.04 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 3.59 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 1.95 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.31 Bn |
| 10 | Ermenegildo Zegna | 3.28 Bn | 2.09 Bn | - | 148.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.95 Mn |
| Dec 31, 2025 | 188.72 Mn |
| Jun 30, 2025 | 197.43 Mn |
| Dec 31, 2024 | 209.87 Mn |
| Jun 30, 2024 | 234.90 Mn |
| Jun 30, 2023 | 122.77 Mn |
| Dec 31, 2022 | 188.62 Mn |
| Jun 30, 2022 | 326.71 Mn |
| Dec 31, 2021 | -4.90 Mn |
| Jun 30, 2021 | 253.59 Mn |
API Access
Ermenegildo Zegna Non-Current Debt 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=ZGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "ZGN", "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=ZGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();