TheRealReal (REAL) Inventory (2018 - 2026)
TheRealReal's Inventory came in at $37.45 million for Q3 2026, up 26.1% from $29.7 million a year earlier and up 5.7% from the prior quarter.
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 Q3 2026 figure represents the highest quarterly Inventory since Q4 2022.
- Year-over-year, Inventory has increased for eight consecutive quarters, with growth averaging 28.1% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q4 2021 (growth of 67.8%), and the weakest in Q2 2023 (a decline of 65.0%).
- Business Quant data shows REAL's Inventory at $35.43 million (Q2 2026), $33.93 million (Q1 2026) and $30.84 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 1.15 Bn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 1.71 Bn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 860.85 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 1.25 Bn |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 1.98 Bn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 413.03 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 963.27 Mn |
| 10 | TheRealReal | 1.77 Bn | 1.25 Bn | 154.40 Mn | 37.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.45 Mn |
| 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 |
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_KEY
import 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();