Natuzzi S P A (NTZ) Retained Earnings (2010 - 2025)
Natuzzi S P A (NTZ) reported Retained Earnings of -$60.13 million for Q4 2025, compared with -$23.22 million a year earlier.
Analysis
Natuzzi S P A (NTZ) Retained Earnings (2010 - 2025) Analysis & Trends
Dating back to Q2 2010, Natuzzi S P A's Retained Earnings record includes 40 quarters.
- By year, Retained Earnings came in at -$23.22 million in FY2024, -$7.08 million in FY2023, $9.69 million in FY2022 (-15.6%) and $11.48 million in FY2021 (+49.3%).
- The Q4 2025 figure ranks as the lowest quarterly Retained Earnings in data going back to Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 1.86 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | - |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | -3.15 Bn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | -17.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 1.26 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | -52.54 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 717.70 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 42.23 Mn |
| 10 | Natuzzi S P A | 11.01 Mn | -77.26 Mn | 22.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -60.13 Mn |
| Dec 31, 2024 | -23.22 Mn |
| Dec 31, 2023 | -7.08 Mn |
| Dec 31, 2022 | 9.69 Mn |
| Dec 31, 2021 | 11.48 Mn |
| Dec 31, 2020 | 7.69 Mn |
| Dec 31, 2019 | 34.45 Mn |
| Dec 31, 2018 | 73.62 Mn |
| Sep 30, 2018 | 74.44 Mn |
| Jun 30, 2018 | 34.01 Mn |
| Mar 31, 2018 | 43.12 Mn |
| Dec 31, 2017 | 36.79 Mn |
| Sep 30, 2017 | 55.70 Mn |
| Jun 30, 2017 | 67.07 Mn |
| Mar 31, 2017 | 75.64 Mn |
| Dec 30, 2016 | 89.29 Mn |
| Sep 30, 2016 | 892.95 Mn |
| Jun 30, 2016 | 1.06 Bn |
| Mar 31, 2016 | 1.01 Bn |
| Dec 30, 2015 | 1.08 Bn |
API Access
Natuzzi S P A Retained Earnings 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=retained-earnings&ticker=NTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();