TheRealReal (REAL) Non-Current Assets (2018 - 2026)
TheRealReal's Non-Current Assets was $184.97 million in Q2 2026, down 2.2% from $189.05 million a year earlier but up 1.1% from the prior quarter.
TheRealReal (REAL) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at TheRealReal came in at $181.54 million, down 4.7% from FY2024.
- Non-Current Assets has now declined for three consecutive years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $190.43 million in FY2024 (-9.7%), $210.98 million in FY2023 (-13.3%), $243.38 million in FY2022 (+2.6%) and $237.13 million in FY2021 (+29.1%).
- Quarterly Non-Current Assets has moved between $181.54 million (Q4 2025) and $243.38 million (Q4 2022) over five years.
- Compared with a year earlier, Non-Current Assets has declined for nine straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2021 (growth of 30.5%); the worst was Q1 2023 (a decline of 14.3%).
- Per Business Quant data, REAL's Non-Current Assets in the three quarters before Q2 2026 was $182.95 million (Q1 2026), $181.54 million (Q4 2025) and $183.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 13.81 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 3.66 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 5.52 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 4.39 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 3.27 Bn |
| 10 | TheRealReal | 1.07 Bn | 566.71 Mn | 143.20 Mn | 184.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.97 Mn |
| Mar 31, 2026 | 182.95 Mn |
| Dec 31, 2025 | 181.54 Mn |
| Sep 30, 2025 | 183.79 Mn |
| Jun 30, 2025 | 189.05 Mn |
| Mar 31, 2025 | 192.22 Mn |
| Dec 31, 2024 | 190.43 Mn |
| Sep 30, 2024 | 194.52 Mn |
| Jun 30, 2024 | 199.97 Mn |
| Mar 31, 2024 | 206.26 Mn |
| Dec 31, 2023 | 210.98 Mn |
| Sep 30, 2023 | 222.72 Mn |
| Jun 30, 2023 | 219.07 Mn |
| Mar 31, 2023 | 200.62 Mn |
| Dec 31, 2022 | 243.38 Mn |
| Sep 30, 2022 | 235.16 Mn |
| Jun 30, 2022 | 231.42 Mn |
| Mar 31, 2022 | 234.17 Mn |
| Dec 31, 2021 | 237.13 Mn |
| Sep 30, 2021 | 233.64 Mn |
TheRealReal Non-Current Assets 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=non-current-assets&ticker=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();