Natuzzi S P A (NTZ) Gains from Sales and Divestitures (2010 - 2016)
Natuzzi S P A (NTZ) recorded Gains from Sales and Divestitures of -$4.94 million in FY2025, compared with $117,545 in FY2024.
Analysis
Natuzzi S P A (NTZ) Gains from Sales and Divestitures (2010 - 2016) Analysis & Trends
Starting with FY2012, Natuzzi S P A's Gains from Sales and Divestitures history includes 10 years.
- The FY2025 figure is the lowest annual Gains from Sales and Divestitures in data going back to FY2012.
- Per Business Quant data, NTZ's Gains from Sales and Divestitures was $117,545 in FY2024 (-6.6%), $125,885 in FY2023, -$39,790 in FY2022 and -$2.38 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | Natuzzi S P A | 11.01 Mn | -77.26 Mn | 22.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | -441.20 Mn |
| Sep 30, 2015 | 16.68 |
| Sep 30, 2014 | 111.49 |
| Dec 31, 2013 | 624,740.11 |
| Sep 30, 2013 | -397,511.58 |
| Jun 30, 2013 | 261,150.77 |
| Dec 31, 2012 | 915,606.31 |
| Sep 30, 2012 | 125,060.96 |
| Jun 30, 2012 | 1.03 Mn |
| Mar 31, 2012 | -393,394.66 |
| Sep 30, 2011 | -34.80 Mn |
| Jun 30, 2011 | -29.78 Mn |
| Mar 11, 2011 | -404,532.74 |
| Sep 30, 2010 | 516,509.05 |
| Jun 10, 2010 | -130,162.28 |
API Access
Natuzzi S P A Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=NTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=NTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();