Natuzzi S P A (NTZ) Total Current Liabilities (2009 - 2026)
Natuzzi S P A (NTZ) reported Total Current Liabilities of $153.13 million for Q1 2026, down 8.6% from $167.57 million a year earlier and down 8.8% from the prior quarter.
Natuzzi S P A (NTZ) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Natuzzi S P A posted Total Current Liabilities of $167.97 million, down 0.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $169.16 million in FY2024 (+1.7%), $166.41 million in FY2023 (-9.8%), $184.44 million in FY2022 (-18.9%) and $227.31 million in FY2021 (+7.9%).
- The Q1 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q2 2020.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with growth averaging 0.9%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2021 (growth of 51.5%); the low point was Q1 2023 (a decline of 22.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $167.97 million (Q4 2025), $179.92 million (Q3 2025) and $182.7 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 1.81 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 1.72 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 1.04 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 2.89 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 366.80 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 5.01 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 484.36 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 692.30 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 369.15 Mn |
| 10 | Natuzzi S P A | 11.01 Mn | -78.28 Mn | 22.95 Mn | 149.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 149.90 Mn |
| Dec 31, 2025 | 169.45 Mn |
| Sep 30, 2025 | 180.55 Mn |
| Jun 30, 2025 | 189.28 Mn |
| Mar 31, 2025 | 172.42 Mn |
| Dec 31, 2024 | 164.78 Mn |
| Sep 30, 2024 | 166.99 Mn |
| Jun 30, 2024 | 167.59 Mn |
| Mar 31, 2024 | 167.53 Mn |
| Dec 31, 2023 | 171.18 Mn |
| Sep 30, 2023 | 161.92 Mn |
| Jun 30, 2023 | 170.30 Mn |
| Mar 31, 2023 | 178.40 Mn |
| Dec 31, 2022 | 192.73 Mn |
| Sep 30, 2022 | 192.07 Mn |
| Jun 30, 2022 | 211.96 Mn |
| Mar 31, 2022 | 225.92 Mn |
| Dec 31, 2021 | 225.03 Mn |
| Sep 30, 2021 | 214.40 Mn |
| Jun 30, 2021 | 227.21 Mn |
Natuzzi S P A Total 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-current-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();