TheRealReal (REAL) Change in Accured Expenses (2018 - 2026)
TheRealReal (REAL) posted Change in Accured Expenses of -$7.63 million for Q2 2026, compared with -$5.49 million a year earlier.
TheRealReal (REAL) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at TheRealReal was $12.87 million; for FY2025, it was $12.66 million, down 3.3% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, TheRealReal's Change in Accured Expenses was $13.09 million in FY2024, -$464,000 in FY2023, -$9.82 million in FY2022 and $30.92 million in FY2021 (+286.8%).
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses since Q1 2025.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2024, with growth of 195.1%; the weakest was Q3 2023, with a decline of 18.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$6.9 million (Q1 2026), $5.46 million (Q4 2025) and $21.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 40.70 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 66.18 Mn |
| 10 | TheRealReal | 1.08 Bn | 580.09 Mn | 143.20 Mn | -7.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.63 Mn |
| Mar 31, 2026 | -6.90 Mn |
| Dec 31, 2025 | 5.46 Mn |
| Sep 30, 2025 | 21.94 Mn |
| Jun 30, 2025 | -5.49 Mn |
| Mar 31, 2025 | -9.25 Mn |
| Dec 31, 2024 | 3.05 Mn |
| Sep 30, 2024 | 10.99 Mn |
| Jun 30, 2024 | -1.34 Mn |
| Mar 31, 2024 | 385,000.00 |
| Dec 31, 2023 | 1.04 Mn |
| Sep 30, 2023 | 8.14 Mn |
| Jun 30, 2023 | -8.75 Mn |
| Mar 31, 2023 | -894,000.00 |
| Dec 31, 2022 | -5.33 Mn |
| Sep 30, 2022 | 9.93 Mn |
| Jun 30, 2022 | -5.79 Mn |
| Mar 31, 2022 | -8.63 Mn |
| Dec 31, 2021 | 8.97 Mn |
| Sep 30, 2021 | 7.33 Mn |
TheRealReal Change in Accured Expenses 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=change-in-accured-expenses&ticker=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();