Deckers Outdoor (DECK) Tax Provisions (2009 - 2025)
Deckers Outdoor (DECK) reported Tax Provisions of $145.77 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 14.6% from $127.21 million a year earlier and up 96.4% from the prior quarter.
Deckers Outdoor (DECK) Tax Provisions (2009 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Deckers Outdoor's Tax Provisions came in at $303.72 million, up 10.8% year-over-year; for FY2025 (ended Mar 31, 2025), it was $277.21 million, up 26.4% from FY2024.
- Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $219.38 million in FY2024 (+47.0%), $149.26 million in FY2023 (+32.5%), $112.69 million in FY2022 (-5.3%) and $118.94 million in FY2021 (+83.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Tax Provisions in data going back to fiscal Q2 2015.
- Year over year, Tax Provisions gained in seven of the last eight quarters, with growth averaging 31.5%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q2 2024 (growth of 103.6%); the low point was fiscal Q4 2022 (a decline of 31.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $74.2 million (Q2 2026), $43.86 million (Q1 2026) and $39.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.04 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -9.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 145.77 Mn |
| Sep 30, 2025 | 74.20 Mn |
| Jun 30, 2025 | 43.86 Mn |
| Mar 31, 2025 | 39.88 Mn |
| Dec 31, 2024 | 127.21 Mn |
| Sep 30, 2024 | 76.59 Mn |
| Jun 30, 2024 | 33.53 Mn |
| Mar 31, 2024 | 36.66 Mn |
| Dec 31, 2023 | 109.13 Mn |
| Sep 30, 2023 | 55.77 Mn |
| Jun 30, 2023 | 17.81 Mn |
| Mar 31, 2023 | 23.07 Mn |
| Dec 31, 2022 | 86.64 Mn |
| Sep 30, 2022 | 27.39 Mn |
| Jun 30, 2022 | 12.15 Mn |
| Mar 31, 2022 | 13.53 Mn |
| Dec 31, 2021 | 60.01 Mn |
| Sep 30, 2021 | 25.62 Mn |
| Jun 30, 2021 | 13.53 Mn |
| Mar 31, 2021 | 19.61 Mn |
Deckers Outdoor 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=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "DECK", "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=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();