Cricut (CRCT) Total Liabilities (2020 - 2026)
Cricut (CRCT) posted Total Liabilities of $217.49 million for Q2 2026, down 47.3% from $412.57 million a year earlier but up 16.8% from the prior quarter.
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Analysis
Cricut (CRCT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Cricut's Total Liabilities came in at $237.25 million, up 4.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In prior years, Cricut's Total Liabilities was $226.27 million in FY2024 (+5.1%), $215.25 million in FY2023 (-22.3%), $276.89 million in FY2022 (-16.7%) and $332.27 million in FY2021 (-5.7%).
- Quarterly Total Liabilities has run from a low of $152.28 million in Q1 2023 to a high of $416.03 million in Q2 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 2.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 90.5%; the weakest was Q2 2026, with a decline of 47.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $186.27 million (Q1 2026), $237.25 million (Q4 2025) and $205.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.21 Bn | 24.88 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.20 Bn | 12.74 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.42 Bn | 2.99 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.39 Bn | 1.55 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.09 Bn | 987.86 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.89 Bn | -1.58 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Millerknoll | 1.47 Bn | 769.70 Mn | 385.30 Mn | 2.65 Bn |
| 8 | Corsair Gaming | 1.44 Bn | 968.13 Mn | 104.29 Mn | 551.41 Mn |
| 9 | Cricut | 1.36 Bn | 334.37 Mn | 116.41 Mn | 217.49 Mn |
| 10 | Arhaus | 1.35 Bn | 431.91 Mn | 172.07 Mn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.49 Mn |
| Mar 31, 2026 | 186.27 Mn |
| Dec 31, 2025 | 237.25 Mn |
| Sep 30, 2025 | 205.86 Mn |
| Jun 30, 2025 | 412.57 Mn |
| Mar 31, 2025 | 191.48 Mn |
| Dec 31, 2024 | 226.27 Mn |
| Sep 30, 2024 | 187.93 Mn |
| Jun 30, 2024 | 293.57 Mn |
| Mar 31, 2024 | 171.14 Mn |
| Dec 31, 2023 | 215.25 Mn |
| Sep 30, 2023 | 192.68 Mn |
| Jun 30, 2023 | 416.03 Mn |
| Mar 31, 2023 | 152.28 Mn |
| Dec 31, 2022 | 276.89 Mn |
| Sep 30, 2022 | 177.11 Mn |
| Jun 30, 2022 | 218.34 Mn |
| Mar 31, 2022 | 259.56 Mn |
| Dec 31, 2021 | 332.27 Mn |
| Sep 30, 2021 | 327.39 Mn |
API Access
Cricut Total Liabilities 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=total-liabilities&ticker=CRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();