Cricut (CRCT) Accumulated Expenses (2025 - 2026)
Analysis
Cricut (CRCT) Accumulated Expenses (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 30.58 Bn | 28.02 Bn | 1.17 Bn |
| 2 | Somnigroup International | 14.28 Bn | 13.83 Bn | 817.20 Mn |
| 3 | Hni | 3.49 Bn | 2.98 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.47 Bn | 649.00 Mn |
| 5 | Whirlpool | 2.08 Bn | -1.57 Bn | 473.00 Mn |
| 6 | Sonos | 1.93 Bn | 830.64 Mn | 189.31 Mn |
| 7 | Cricut | 1.92 Bn | 833.59 Mn | 108.88 Mn |
| 8 | Arhaus | 1.83 Bn | 911.48 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.51 Bn | 874.96 Mn | 385.30 Mn |
| 10 | Corsair Gaming | 1.40 Bn | 871.83 Mn | 97.83 Mn |
API Access
Cricut Accumulated Expenses 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=accumulated-expenses&ticker=CRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();