Deckers Outdoor (DECK) Tax Provisions (2009 - 2026)
Deckers Outdoor (DECK) reported Tax Provisions of $90.32 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 21.7% from $74.2 million a year earlier and up 131.1% from the prior quarter.
Deckers Outdoor (DECK) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Deckers Outdoor's Tax Provisions came in at $313.61 million, up 10.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $302.29 million, up 9.0% from FY2025.
- Tax Provisions has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 20.5% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $277.21 million in FY2025 (+26.4%), $219.38 million in FY2024 (+47.0%), $149.26 million in FY2023 (+32.5%) and $112.69 million in FY2022 (-5.3%).
- Five-year quarterly Tax Provisions spans a low of $12.15 million in fiscal Q1 2023 and a high of $145.77 million in fiscal Q3 2026.
- Year over year, Tax Provisions gained in five of the last eight quarters, with growth averaging 9.4%.
- 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 Q2 2027 came in at $39.08 million (Q1 2027), $38.45 million (Q4 2026) and $145.77 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 209.00 Mn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 72.60 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 138.13 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 90.32 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 51.50 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 61.68 Mn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 60.68 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 58.65 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 39.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.32 Mn |
| Jun 30, 2026 | 39.08 Mn |
| Mar 31, 2026 | 38.45 Mn |
| 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 |
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();