TheRealReal (REAL) Property, Plant & Equipment (Net) (2018 - 2026)
TheRealReal (REAL) recorded Property, Plant & Equipment (Net) of $100.56 million in Q2 2026, up 2.6% from $98.01 million a year earlier and up 2.7% from the prior quarter.
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Analysis
TheRealReal (REAL) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, TheRealReal reported Property, Plant & Equipment (Net) of $96.15 million, up 1.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $94.44 million in FY2024 (-9.3%), $104.09 million in FY2023 (-7.6%), $112.68 million in FY2022 (+26.2%) and $89.29 million in FY2021 (+40.7%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q1 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for three consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 40.7% in Q4 2021, against a decline of 10.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $97.87 million (Q1 2026), $96.15 million (Q4 2025) and $94.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | TheRealReal | 1.08 Bn | 580.09 Mn | 143.20 Mn | 100.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.56 Mn |
| Mar 31, 2026 | 97.87 Mn |
| Dec 31, 2025 | 96.15 Mn |
| Sep 30, 2025 | 94.71 Mn |
| Jun 30, 2025 | 98.01 Mn |
| Mar 31, 2025 | 97.61 Mn |
| Dec 31, 2024 | 94.44 Mn |
| Sep 30, 2024 | 95.22 Mn |
| Jun 30, 2024 | 96.77 Mn |
| Mar 31, 2024 | 101.33 Mn |
| Dec 31, 2023 | 104.09 Mn |
| Sep 30, 2023 | 106.81 Mn |
| Jun 30, 2023 | 105.78 Mn |
| Mar 31, 2023 | 101.88 Mn |
| Dec 31, 2022 | 112.68 Mn |
| Sep 30, 2022 | 99.51 Mn |
| Jun 30, 2022 | 92.99 Mn |
| Mar 31, 2022 | 90.42 Mn |
| Dec 31, 2021 | 89.29 Mn |
| Sep 30, 2021 | 83.93 Mn |
API Access
TheRealReal Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=REAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();