Cricut (CRCT) Operating Expenses (2020 - 2026)
Cricut (CRCT) recorded Operating Expenses of $68.99 million in Q2 2026, down 3.4% from $71.43 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Cricut (CRCT) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Cricut's Operating Expenses came in at $292.76 million as of Jun 30, 2026, up 1.9% year-over-year; for FY2025, it came in at $294.4 million, up 6.4% from FY2024.
- Annual Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $276.68 million in FY2024 (+1.2%), $273.31 million in FY2023 (+1.2%), $269.94 million in FY2022 (+1.8%) and $265.05 million in FY2021 (+101.0%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 4.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 102.0% in Q3 2021, against a decline of 9.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.81 million (Q1 2026), $82.51 million (Q4 2025) and $71.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.17 Bn | 24.84 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.21 Bn | 12.75 Bn | 817.20 Mn | - |
| 3 | Hni | 3.43 Bn | 3.00 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.39 Bn | 1.55 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.10 Bn | 1.00 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.88 Bn | -1.59 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Millerknoll | 1.47 Bn | 770.40 Mn | 385.30 Mn | 333.50 Mn |
| 8 | Corsair Gaming | 1.43 Bn | 960.08 Mn | 104.29 Mn | 96.68 Mn |
| 9 | Arhaus | 1.36 Bn | 441.10 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Cricut | 1.36 Bn | 332.28 Mn | 116.41 Mn | 68.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.99 Mn |
| Mar 31, 2026 | 69.81 Mn |
| Dec 31, 2025 | 82.51 Mn |
| Sep 30, 2025 | 71.45 Mn |
| Jun 30, 2025 | 71.43 Mn |
| Mar 31, 2025 | 69.01 Mn |
| Dec 31, 2024 | 80.11 Mn |
| Sep 30, 2024 | 66.77 Mn |
| Jun 30, 2024 | 63.41 Mn |
| Mar 31, 2024 | 66.39 Mn |
| Dec 31, 2023 | 80.52 Mn |
| Sep 30, 2023 | 58.25 Mn |
| Jun 30, 2023 | 68.41 Mn |
| Mar 31, 2023 | 66.14 Mn |
| Dec 31, 2022 | 72.52 Mn |
| Sep 30, 2022 | 64.41 Mn |
| Jun 30, 2022 | 65.40 Mn |
| Mar 31, 2022 | 67.61 Mn |
| Dec 31, 2021 | 78.98 Mn |
| Sep 30, 2021 | 64.32 Mn |
API Access
Cricut Operating 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=operating-expenses&ticker=CRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();