TheRealReal (REAL) Cash & Equivalents (2018 - 2026)
TheRealReal (REAL) reported Cash & Equivalents of $130.41 million for Q3 2026, up 20.3% from $108.42 million a year earlier and up 9.5% from the prior quarter.
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Analysis
TheRealReal (REAL) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, TheRealReal posted Cash & Equivalents of $151.23 million, down 12.2% from FY2024.
- Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $172.21 million in FY2024 (-2.0%), $175.71 million in FY2023 (-40.2%), $293.79 million in FY2022 (-29.7%) and $418.17 million in FY2021 (+19.2%).
- Five-year quarterly Cash & Equivalents spans a low of $94.35 million in Q2 2025 and a high of $418.17 million in Q4 2021.
- Year over year, Cash & Equivalents gained in two of the last eight quarters, with an average decline of 7.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 26.3%); the low point was Q3 2023 (a decline of 43.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $119.13 million (Q2 2026), $123.95 million (Q1 2026) and $151.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 599.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 1.43 Bn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 1.21 Bn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 442.95 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 163.46 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 792.27 Mn |
| 10 | TheRealReal | 1.83 Bn | 1.30 Bn | 154.40 Mn | 130.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 130.41 Mn |
| Jun 30, 2026 | 119.13 Mn |
| Mar 31, 2026 | 123.95 Mn |
| Dec 31, 2025 | 151.23 Mn |
| Sep 30, 2025 | 108.42 Mn |
| Jun 30, 2025 | 94.35 Mn |
| Mar 31, 2025 | 139.60 Mn |
| Dec 31, 2024 | 172.21 Mn |
| Sep 30, 2024 | 153.18 Mn |
| Jun 30, 2024 | 150.75 Mn |
| Mar 31, 2024 | 166.00 Mn |
| Dec 31, 2023 | 175.71 Mn |
| Sep 30, 2023 | 170.81 Mn |
| Jun 30, 2023 | 188.89 Mn |
| Mar 31, 2023 | 247.15 Mn |
| Dec 31, 2022 | 293.79 Mn |
| Sep 30, 2022 | 300.44 Mn |
| Jun 30, 2022 | 315.89 Mn |
| Mar 31, 2022 | 361.01 Mn |
| Dec 31, 2021 | 418.17 Mn |
API Access
TheRealReal 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=REAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "REAL", "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=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();