TheRealReal (REAL) Cost of Revenue (2018 - 2026)
TheRealReal (REAL) posted Cost of Revenue of $49.37 million for Q2 2026, up 16.1% from $42.51 million a year earlier and up 2.0% from the prior quarter.
TheRealReal (REAL) Cost of Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at TheRealReal was $191.25 million, up 18.4% year-over-year; for FY2025, it came in at $176.02 million, up 15.1% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, TheRealReal's Cost of Revenue was $152.96 million in FY2024 (-11.6%), $173.03 million in FY2023 (-32.1%), $254.8 million in FY2022 (+31.2%) and $194.22 million in FY2021 (+72.8%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q1 2023.
- On a year-over-year basis, Cost of Revenue has increased in each of the last seven quarters, with growth averaging 13.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 92.8%; the weakest was Q4 2023, with a decline of 40.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $48.38 million (Q1 2026), $48.85 million (Q4 2025) and $44.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | TheRealReal | 1.08 Bn | 580.09 Mn | 143.20 Mn | 49.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.37 Mn |
| Mar 31, 2026 | 48.38 Mn |
| Dec 31, 2025 | 48.85 Mn |
| Sep 30, 2025 | 44.65 Mn |
| Jun 30, 2025 | 42.51 Mn |
| Mar 31, 2025 | 40.01 Mn |
| Dec 31, 2024 | 41.93 Mn |
| Sep 30, 2024 | 37.04 Mn |
| Jun 30, 2024 | 37.47 Mn |
| Mar 31, 2024 | 36.52 Mn |
| Dec 31, 2023 | 37.32 Mn |
| Sep 30, 2023 | 39.10 Mn |
| Jun 30, 2023 | 44.68 Mn |
| Mar 31, 2023 | 51.92 Mn |
| Dec 31, 2022 | 63.05 Mn |
| Sep 30, 2022 | 56.93 Mn |
| Jun 30, 2022 | 66.75 Mn |
| Mar 31, 2022 | 68.08 Mn |
| Dec 31, 2021 | 64.50 Mn |
| Sep 30, 2021 | 47.74 Mn |
TheRealReal Cost of Revenue 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=cost-of-revenue&ticker=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();