TheRealReal (REAL) Inventory (2018 - 2026)
TheRealReal's Inventory came in at $35.43 million for Q2 2026, up 23.1% from $28.78 million a year earlier and up 4.4% from the prior quarter.
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Analysis
TheRealReal (REAL) Inventory (2018 - 2026) Analysis & Trends
At the end of FY2025, TheRealReal's Inventory was $30.84 million, up 30.8% from FY2024.
- Inventory carries a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- Going back by year, Inventory was $23.58 million in FY2024 (+6.0%), $22.25 million in FY2023 (-48.2%), $42.97 million in FY2022 (-39.5%) and $71.02 million in FY2021 (+67.8%).
- The Q2 2026 figure represents the highest quarterly Inventory since Q4 2022.
- Year-over-year, Inventory has increased for seven consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q3 2021 (growth of 232.1%), and the weakest in Q2 2023 (a decline of 65.0%).
- Business Quant data shows REAL's Inventory at $33.93 million (Q1 2026), $30.84 million (Q4 2025) and $29.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | TheRealReal | 1.07 Bn | 569.14 Mn | 143.20 Mn | 35.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.43 Mn |
| Mar 31, 2026 | 33.93 Mn |
| Dec 31, 2025 | 30.84 Mn |
| Sep 30, 2025 | 29.70 Mn |
| Jun 30, 2025 | 28.78 Mn |
| Mar 31, 2025 | 26.47 Mn |
| Dec 31, 2024 | 23.58 Mn |
| Sep 30, 2024 | 19.92 Mn |
| Jun 30, 2024 | 21.12 Mn |
| Mar 31, 2024 | 21.12 Mn |
| Dec 31, 2023 | 22.25 Mn |
| Sep 30, 2023 | 24.66 Mn |
| Jun 30, 2023 | 25.90 Mn |
| Mar 31, 2023 | 30.84 Mn |
| Dec 31, 2022 | 42.97 Mn |
| Sep 30, 2022 | 62.97 Mn |
| Jun 30, 2022 | 74.03 Mn |
| Mar 31, 2022 | 73.70 Mn |
| Dec 31, 2021 | 71.02 Mn |
| Sep 30, 2021 | 63.88 Mn |
API Access
TheRealReal Inventory 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=inventory&ticker=REAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();