Natuzzi S P A (NTZ) Total Liabilities (2009 - 2026)
Natuzzi S P A (NTZ) reported Total Liabilities of $268.45 million for Q1 2026, down 3.5% from $278.33 million a year earlier and down 6.2% from the prior quarter.
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Analysis
Natuzzi S P A (NTZ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Natuzzi S P A posted Total Liabilities of $286.24 million, up 1.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $283.18 million in FY2024 (-0.7%), $285.19 million in FY2023 (+1.3%), $281.64 million in FY2022 (-19.6%) and $350.27 million in FY2021 (+4.7%).
- The Q1 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2018.
- Year over year, Total Liabilities gained in five of the last eight quarters, with an average year-over-year change of 0.0%.
- The high point for year-over-year Total Liabilities in five years was Q2 2021 (growth of 29.2%); the low point was Q4 2022 (a decline of 19.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $286.24 million (Q4 2025), $295.54 million (Q3 2025) and $296.12 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 551.41 Mn |
| 10 | Natuzzi S P A | 11.01 Mn | -78.28 Mn | 22.95 Mn | 262.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 262.78 Mn |
| Dec 31, 2025 | 285.44 Mn |
| Sep 30, 2025 | 296.57 Mn |
| Jun 30, 2025 | 306.79 Mn |
| Mar 31, 2025 | 286.40 Mn |
| Dec 31, 2024 | 271.41 Mn |
| Sep 30, 2024 | 290.75 Mn |
| Jun 30, 2024 | 291.70 Mn |
| Mar 31, 2024 | 292.96 Mn |
| Dec 31, 2023 | 293.37 Mn |
| Sep 30, 2023 | 273.25 Mn |
| Jun 30, 2023 | 283.66 Mn |
| Mar 31, 2023 | 292.14 Mn |
| Dec 31, 2022 | 294.29 Mn |
| Sep 30, 2022 | 295.48 Mn |
| Jun 30, 2022 | 321.44 Mn |
| Mar 31, 2022 | 348.81 Mn |
| Dec 31, 2021 | 346.76 Mn |
| Sep 30, 2021 | 332.97 Mn |
| Jun 30, 2021 | 350.15 Mn |
API Access
Natuzzi S P A Total 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-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();