Floor & Decor Holdings (FND) Operating Expenses (2016 - 2026)
Floor & Decor Holdings' Operating Expenses was $479.14 million in Q2 2026, up 6.3% from $450.79 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Floor & Decor Holdings (FND) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Floor & Decor Holdings' Operating Expenses was $2.94 billion through Jun 25, 2026, up 69.4% year-over-year; for FY2025, it was $1.77 billion, up 6.1% from FY2024.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.67 billion in FY2024 (+8.8%), $1.54 billion in FY2023 (+15.5%), $1.33 billion in FY2022 (+22.9%) and $1.08 billion in FY2021 (+32.1%).
- Quarterly Operating Expenses has moved between $281.91 million (Q3 2021) and $1.57 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 38 straight quarters, with growth averaging 39.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.5% in Q1 2026 to 271.4% in Q4 2025.
- Per Business Quant data, FND's Operating Expenses in the three quarters before Q2 2026 was $455.06 million (Q1 2026), $1.57 billion (Q4 2025) and $439.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Floor & Decor Holdings | 4.90 Bn | 3.83 Bn | 603.12 Mn | 479.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2026 | 479.14 Mn |
| Mar 26, 2026 | 455.06 Mn |
| Dec 25, 2025 | 1.57 Bn |
| Sep 25, 2025 | 439.94 Mn |
| Jun 26, 2025 | 450.79 Mn |
| Mar 27, 2025 | 443.94 Mn |
| Dec 26, 2024 | 422.10 Mn |
| Sep 26, 2024 | 419.55 Mn |
| Jun 27, 2024 | 419.71 Mn |
| Mar 28, 2024 | 410.72 Mn |
| Dec 28, 2023 | 395.98 Mn |
| Sep 28, 2023 | 382.68 Mn |
| Jun 29, 2023 | 384.66 Mn |
| Mar 30, 2023 | 373.60 Mn |
| Dec 29, 2022 | 341.18 Mn |
| Sep 29, 2022 | 345.82 Mn |
| Jun 30, 2022 | 329.87 Mn |
| Mar 31, 2022 | 314.09 Mn |
| Dec 30, 2021 | 293.50 Mn |
| Sep 30, 2021 | 281.91 Mn |
API Access
Floor & Decor Holdings 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=FND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FND", "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=FND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();