Natuzzi S P A (NTZ) Total Non-Current Liabilities (2009 - 2026)
Natuzzi S P A (NTZ) posted Total Non-Current Liabilities of $112.16 million for Q1 2026, up 5.6% from $106.24 million a year earlier but down 2.4% from the prior quarter.
Natuzzi S P A (NTZ) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Natuzzi S P A's Total Non-Current Liabilities came in at $114.89 million, up 4.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Natuzzi S P A's Total Non-Current Liabilities was $109.53 million in FY2024 (-7.8%), $118.78 million in FY2023 (+22.2%), $97.2 million in FY2022 (-21.0%) and $122.96 million in FY2021 (-0.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $97.2 million in Q4 2022 to a high of $122.96 million in Q4 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 22.2%; the weakest was Q4 2022, with a decline of 21.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $114.89 million (Q4 2025), $111.06 million (Q3 2025) and $109.01 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.27 Bn | 25.94 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.40 Bn | 12.95 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.32 Bn | 2.89 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.09 Bn | 987.27 Mn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.75 Bn | -1.72 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Arhaus | 1.57 Bn | 651.89 Mn | 172.07 Mn | 1.03 Bn |
| 8 | Corsair Gaming | 1.44 Bn | 972.96 Mn | 104.29 Mn | 500.41 Mn |
| 9 | Millerknoll | 1.43 Bn | 732.29 Mn | 385.30 Mn | 2.47 Bn |
| 10 | Natuzzi S P A | 11.01 Mn | -78.28 Mn | 22.95 Mn | 109.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 109.79 Mn |
| Dec 31, 2025 | 115.98 Mn |
| Sep 30, 2025 | 111.45 Mn |
| Jun 30, 2025 | 112.94 Mn |
| Mar 31, 2025 | 109.32 Mn |
| Dec 31, 2024 | 106.63 Mn |
| Sep 30, 2024 | 118.74 Mn |
| Jun 30, 2024 | 119.19 Mn |
| Mar 31, 2024 | 120.68 Mn |
| Dec 31, 2023 | 122.19 Mn |
| Sep 30, 2023 | 106.58 Mn |
| Jun 30, 2023 | 108.57 Mn |
| Mar 31, 2023 | 108.61 Mn |
| Dec 31, 2022 | 101.56 Mn |
| Sep 30, 2022 | 98.49 Mn |
| Jun 30, 2022 | 105.09 Mn |
| Mar 31, 2022 | 118.87 Mn |
| Dec 31, 2021 | 121.73 Mn |
| Sep 30, 2021 | 116.71 Mn |
| Jun 30, 2021 | 121.52 Mn |
Natuzzi S P A Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NTZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();