Deckers Outdoor (DECK) Operating Expenses (2009 - 2025)
Deckers Outdoor's Operating Expenses was $556.99 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 4.0% from $535.35 million a year earlier and up 16.7% from the prior quarter.
Deckers Outdoor (DECK) Operating Expenses (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, Deckers Outdoor's Operating Expenses was $1.81 billion through Dec 31, 2025, up 6.9% year-over-year; for FY2025 (ended Mar 31, 2025), it was $1.71 billion, up 17.1% from FY2024.
- Operating Expenses has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $1.46 billion in FY2024 (+24.3%), $1.17 billion in FY2023 (+12.4%), $1.04 billion in FY2022 (+19.9%) and $869.89 million in FY2021 (+13.6%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q2 2015.
- Compared with a year earlier, Operating Expenses has increased for 22 straight quarters, with growth averaging 16.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.7% in fiscal Q4 2025 to 38.4% in fiscal Q4 2021.
- Per Business Quant data, DECK's Operating Expenses in the three fiscal quarters before Q3 2026 was $477.3 million (Q2 2026), $372.62 million (Q1 2026) and $405.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 1.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 556.99 Mn |
| Sep 30, 2025 | 477.30 Mn |
| Jun 30, 2025 | 372.62 Mn |
| Mar 31, 2025 | 405.84 Mn |
| Dec 31, 2024 | 535.35 Mn |
| Sep 30, 2024 | 428.19 Mn |
| Jun 30, 2024 | 337.19 Mn |
| Mar 31, 2024 | 395.21 Mn |
| Dec 31, 2023 | 428.67 Mn |
| Sep 30, 2023 | 358.40 Mn |
| Jun 30, 2023 | 275.69 Mn |
| Mar 31, 2023 | 290.25 Mn |
| Dec 31, 2022 | 349.87 Mn |
| Sep 30, 2022 | 294.09 Mn |
| Jun 30, 2022 | 238.41 Mn |
| Mar 31, 2022 | 277.44 Mn |
| Dec 31, 2021 | 327.83 Mn |
| Sep 30, 2021 | 238.91 Mn |
| Jun 30, 2021 | 198.67 Mn |
| Mar 31, 2021 | 244.01 Mn |
Deckers Outdoor 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=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();