Floor & Decor Holdings (FND) Cash & Equivalents (2016 - 2026)
Floor & Decor Holdings' Cash & Equivalents was $320.61 million in Q2 2026, up 81.3% from $176.88 million a year earlier and up 9.2% from the prior quarter.
Floor & Decor Holdings (FND) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Floor & Decor Holdings came in at $249.3 million, up 32.8% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $187.67 million in FY2024 (+445.8%), $34.38 million in FY2023 (+251.1%), $9.79 million in FY2022 (-93.0%) and $139.44 million in FY2021 (-54.7%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q3 2021.
- Compared with a year earlier, Cash & Equivalents has increased for eight straight quarters, with growth averaging 134.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2023 (growth of 701.7%); the worst was Q2 2022 (a decline of 98.3%).
- Per Business Quant data, FND's Cash & Equivalents in the three quarters before Q2 2026 was $293.63 million (Q1 2026), $249.3 million (Q4 2025) and $204.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Floor & Decor Holdings | 4.90 Bn | 3.83 Bn | 603.12 Mn | 320.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2026 | 320.61 Mn |
| Mar 26, 2026 | 293.63 Mn |
| Dec 25, 2025 | 249.30 Mn |
| Sep 25, 2025 | 204.48 Mn |
| Jun 26, 2025 | 176.88 Mn |
| Mar 27, 2025 | 186.93 Mn |
| Dec 26, 2024 | 187.67 Mn |
| Sep 26, 2024 | 180.77 Mn |
| Jun 27, 2024 | 138.06 Mn |
| Mar 28, 2024 | 57.43 Mn |
| Dec 28, 2023 | 34.38 Mn |
| Sep 28, 2023 | 61.63 Mn |
| Jun 29, 2023 | 4.17 Mn |
| Mar 30, 2023 | 5.03 Mn |
| Dec 29, 2022 | 9.79 Mn |
| Sep 29, 2022 | 7.69 Mn |
| Jun 30, 2022 | 6.18 Mn |
| Mar 31, 2022 | 31.83 Mn |
| Dec 30, 2021 | 139.44 Mn |
| Sep 30, 2021 | 330.09 Mn |
Floor & Decor Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=FND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();