Ermenegildo Zegna (ZGN) Debt Ratio (2020 - 2026)
Ermenegildo Zegna's Debt Ratio came in at 0.07 for Q2 2026, down 43.1% from 0.13 a year earlier.
Analysis
Ermenegildo Zegna (ZGN) Debt Ratio (2020 - 2026) Analysis & Trends
For FY2025, Ermenegildo Zegna's Debt Ratio was 0.09, down 34.1% from FY2024.
- Debt Ratio has declined in each of the last five years.
- Going back by year, Debt Ratio was 0.13 in FY2024 (-9.4%), 0.15 in FY2023 (-25.0%), 0.19 in FY2022 (-24.1%) and 0.26 in FY2021 (-7.0%).
- The Q2 2026 figure represents the lowest quarterly Debt Ratio since Q4 2021.
- Year-over-year, Debt Ratio increased in 1 of the last four quarters, with an average decline of 14.8%.
- The fastest year-over-year change in Debt Ratio over five years came in Q4 2022 (growth of 211.8%), and the weakest in Q4 2023 (a decline of 46.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 0.16 |
| 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 | 0.16 |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 0.30 |
| 10 | Ermenegildo Zegna | 3.28 Bn | 2.09 Bn | - | 0.07 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.07 |
| Dec 31, 2025 | 0.09 |
| Jun 30, 2025 | 0.13 |
| Dec 31, 2024 | 0.13 |
| Jun 30, 2024 | 0.14 |
| Dec 31, 2023 | 0.10 |
| Jun 30, 2023 | 0.15 |
| Dec 31, 2022 | 0.19 |
| Jun 30, 2022 | 0.22 |
| Dec 31, 2021 | 0.06 |
| Dec 31, 2020 | 0.04 |
API Access
Ermenegildo Zegna Debt Ratio 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=debt-ratio&ticker=ZGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ZGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();