Crown Crafts (CRWS) Operating Leases (2019 - 2026)
Crown Crafts' (CRWS) quarterly Operating Leases came in at $5.5 million in Q2 2026, down 31.06% on a YoY basis from $8.0 million in Q2 2025, and little changed quarter-over-quarter from $5.5 million in Q1 2026.
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Analysis
Crown Crafts (CRWS) Operating Leases (2019 - 2026) Analysis & Trends
Crown Crafts (CRWS) has reported Operating Leases for 8 consecutive years, with $5.5 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Leases fell 31.06% year-over-year to $5.5 million; the trailing twelve-month figure through Jun 2026 stood at $5.5 million (down 31.06% YoY), and the FY2026 full-year result was $5.5 million, down 39.29% from the prior year.
- Operating Leases held at $5.5 million in Q2 2026 per CRWS's latest filing, from $5.5 million in the prior quarter.
- Across five years, Operating Leases topped out at $17.1 million in Q3 2023 and bottomed at $809000.0 in Q2 2022.
- Historically, Operating Leases has averaged $8.7 million across 5 years, with a median of $8.6 million in 2025.
- The sharpest annual moves came in 2022 and 2023: Operating Leases tumbled 69.37% in 2022, then jumped 1740.42% in 2023.
- Over 5 years, Operating Leases stood at $1.9 million in 2022, then jumped by 787.6% to $16.5 million in 2023, then tumbled by 39.99% to $9.9 million in 2024, then plunged by 38.44% to $6.1 million in 2025, then fell by 9.18% to $5.5 million in 2026.
- According to Business Quant data, Operating Leases over the past three periods registered $5.5 million, $5.5 million, and $6.1 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - |
| 10 | Crown Crafts | 27.12 Mn | 26.92 Mn | 8.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.55 Mn |
| Mar 29, 2026 | 5.53 Mn |
| Dec 28, 2025 | 6.11 Mn |
| Sep 28, 2025 | 7.09 Mn |
| Jun 29, 2025 | 8.05 Mn |
| Mar 30, 2025 | 9.11 Mn |
| Dec 29, 2024 | 9.92 Mn |
| Sep 29, 2024 | 10.90 Mn |
| Jun 30, 2024 | 11.22 Mn |
| Mar 31, 2024 | 12.14 Mn |
| Dec 31, 2023 | 16.54 Mn |
| Oct 1, 2023 | 16.40 Mn |
| Jul 2, 2023 | 17.15 Mn |
| Apr 2, 2023 | 14.89 Mn |
| Jan 1, 2023 | 1.41 Mn |
| Oct 2, 2022 | 1.86 Mn |
| Jul 3, 2022 | 2.33 Mn |
| Apr 3, 2022 | 809,000.00 |
| Dec 26, 2021 | 3.09 Mn |
| Sep 26, 2021 | 3.53 Mn |
API Access
Crown Crafts Operating Leases 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-leases&ticker=CRWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "CRWS", "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-leases&ticker=CRWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();