Crown Crafts (CRWS) Operating Expenses (2010 - 2026)
Crown Crafts (CRWS) reported Operating Expenses of $5.23 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 10.9% from $4.72 million a year earlier and up 14.1% from the prior quarter.
Crown Crafts (CRWS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Crown Crafts' Operating Expenses came in at $19.49 million, up 1.8% year-over-year; for FY2026 (ended Mar 29, 2026), it was $18.98 million, up 1.5% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $18.69 million in FY2025 (+16.1%), $16.11 million in FY2024 (+27.3%), $12.66 million in FY2023 (-2.7%) and $13 million in FY2022 (-8.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q2 2025.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 10.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2024 (growth of 49.8%); the low point was fiscal Q2 2022 (a decline of 16.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.59 million (Q4 2026), $4.97 million (Q3 2026) and $4.71 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.85 Bn | 14.44 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 15.50 Bn | 11.27 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Mattel | 4.91 Bn | 1.59 Bn | 542.12 Mn | - |
| 4 | Acushnet Holdings | 4.84 Bn | 4.58 Bn | 445.83 Mn | 267.00 Mn |
| 5 | YETI Holdings | 3.17 Bn | 2.49 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 2.64 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.31 Bn | -2.31 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 797.22 Mn | 333.71 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 774.40 Mn | 378.40 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Crown Crafts | 25.39 Mn | 21.79 Mn | 8.03 Mn | 5.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.23 Mn |
| Mar 29, 2026 | 4.59 Mn |
| Dec 28, 2025 | 4.97 Mn |
| Sep 28, 2025 | 4.71 Mn |
| Jun 29, 2025 | 4.72 Mn |
| Mar 30, 2025 | 4.58 Mn |
| Dec 29, 2024 | 4.40 Mn |
| Sep 29, 2024 | 5.45 Mn |
| Jun 30, 2024 | 4.26 Mn |
| Mar 31, 2024 | 3.92 Mn |
| Dec 31, 2023 | 4.11 Mn |
| Oct 1, 2023 | 4.04 Mn |
| Jul 2, 2023 | 4.05 Mn |
| Apr 2, 2023 | 3.76 Mn |
| Jan 1, 2023 | 2.74 Mn |
| Oct 2, 2022 | 2.74 Mn |
| Jul 3, 2022 | 3.41 Mn |
| Apr 3, 2022 | 3.38 Mn |
| Dec 26, 2021 | 3.09 Mn |
| Sep 26, 2021 | 3.16 Mn |
Crown Crafts 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=CRWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=CRWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();