Crown Crafts (CRWS) Tax Provisions (2010 - 2026)
Crown Crafts' (CRWS) quarterly Tax Provisions came in at $714000.0 in Q2 2026, up 355.91% on a YoY basis from $156608.5 in Q2 2025, and up 1247.17% quarter-over-quarter from $53000.0 in Q1 2026.
Crown Crafts (CRWS) Tax Provisions (2010 - 2026) Analysis & Trends
Crown Crafts (CRWS) has reported Tax Provisions for 17 consecutive years, with $714000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Tax Provisions rose 355.91% year-over-year to $714000.0; the trailing twelve-month figure through Jun 2026 stood at $1.8 million (up 154.65% YoY), and the FY2026 full-year result was $795000.0, up 126.01% from the prior year.
- Tax Provisions climbed to $714000.0 in Q2 2026 per CRWS's latest filing, from $53000.0 in the prior quarter.
- Across five years, Tax Provisions topped out at $1.2 million in Q1 2024 and bottomed at -$3.6 million in Q1 2025.
- Historically, Tax Provisions has averaged $202277.8 across 5 years, with a median of $423500.0 in 2023.
- The sharpest annual moves came in 2022 and 2025: Tax Provisions jumped 689.9% in 2022, then plunged 392.77% in 2025.
- Over 5 years, Tax Provisions stood at $671000.0 in 2022, then retreated by 26.68% to $492000.0 in 2023, then fell by 22.36% to $382000.0 in 2024, then jumped by 56.54% to $598000.0 in 2025, then climbed by 19.4% to $714000.0 in 2026.
- According to Business Quant data, Tax Provisions over the past three periods registered $714000.0, $53000.0, and $598000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (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 | 407.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -291.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.01 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 | 160.68 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Crown Crafts | 27.12 Mn | 26.92 Mn | 8.03 Mn | 714,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 714,000.00 |
| Mar 29, 2026 | 53,000.00 |
| Dec 28, 2025 | 598,000.00 |
| Sep 28, 2025 | 423,000.00 |
| Jun 29, 2025 | -279,000.00 |
| Mar 30, 2025 | -3.64 Mn |
| Dec 29, 2024 | 382,000.00 |
| Sep 29, 2024 | 267,000.00 |
| Jun 30, 2024 | -64,000.00 |
| Mar 31, 2024 | 1.24 Mn |
| Dec 31, 2023 | 492,000.00 |
| Oct 1, 2023 | 550,000.00 |
| Jul 2, 2023 | 140,000.00 |
| Apr 2, 2023 | 424,000.00 |
| Jan 1, 2023 | 420,000.00 |
| Oct 2, 2022 | 671,000.00 |
| Jul 3, 2022 | 466,000.00 |
| Apr 3, 2022 | 782,000.00 |
| Dec 26, 2021 | 605,000.00 |
| Sep 26, 2021 | 592,000.00 |
Crown Crafts Tax Provisions 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=tax-provisions&ticker=CRWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CRWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();