Wix.com (WIX) Restructuring Costs (2014 - 2026)
Wix.com (WIX) reported Restructuring Costs of $27.11 million for Q2 2026, down 28.5% from the prior quarter.
Wix.com (WIX) Restructuring Costs (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wix.com's Restructuring Costs came in at $158.63 million; for FY2023, it came in at $32.61 million.
- Restructuring Costs has a five-year compound annual growth rate of 63.9% (FY2018 to FY2023).
- By year, Restructuring Costs came in at $5.81 million in FY2020 (+133.8%) and $2.49 million in FY2019 (-10.0%).
- The Q2 2026 figure ranks as the lowest quarterly Restructuring Costs since Q4 2023.
- The high point for year-over-year Restructuring Costs in five years was Q3 2023 (growth of 556.9%); the low point was Q3 2022 (a decline of 77.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn |
| 10 | Wix.com | 4.28 Bn | 12.64 Mn | 370.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.11 Mn |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 3.84 Mn |
| Jun 30, 2023 | 330,000.00 |
| Mar 31, 2023 | 25.34 Mn |
| Dec 31, 2017 | 3.14 Mn |
| Sep 30, 2017 | 889,000.00 |
| Jun 30, 2017 | 860,000.00 |
| Mar 31, 2017 | 3.77 Mn |
| Dec 31, 2016 | 614,000.00 |
| Sep 30, 2016 | 514,000.00 |
| Jun 30, 2016 | 397,000.00 |
| Mar 31, 2016 | 1.18 Mn |
| Mar 31, 2014 | 65,000.00 |
Wix.com Restructuring Costs 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=restructuring-costs&ticker=WIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "WIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=WIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();