TheRealReal (REAL) Total Liabilities (2018 - 2026)
TheRealReal's Total Liabilities was $756.02 million in Q2 2026, up 9.9% from $687.63 million a year earlier and up 1.4% from the prior quarter.
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Analysis
TheRealReal (REAL) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at TheRealReal came in at $824.55 million, down 0.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $830.47 million in FY2024 (+10.7%), $750.22 million in FY2023 (-4.5%), $785.73 million in FY2022 (+15.2%) and $681.82 million in FY2021 (+64.8%).
- Quarterly Total Liabilities has moved between $660.69 million (Q3 2021) and $830.47 million (Q4 2024) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 1.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 72.0%); the worst was Q2 2025 (a decline of 7.4%).
- Per Business Quant data, REAL's Total Liabilities in the three quarters before Q2 2026 was $745.28 million (Q1 2026), $824.55 million (Q4 2025) and $751.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.97 Bn |
| 10 | TheRealReal | 1.07 Bn | 566.71 Mn | 143.20 Mn | 756.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 756.02 Mn |
| Mar 31, 2026 | 745.28 Mn |
| Dec 31, 2025 | 824.55 Mn |
| Sep 30, 2025 | 751.26 Mn |
| Jun 30, 2025 | 687.63 Mn |
| Mar 31, 2025 | 736.44 Mn |
| Dec 31, 2024 | 830.47 Mn |
| Sep 30, 2024 | 751.67 Mn |
| Jun 30, 2024 | 742.68 Mn |
| Mar 31, 2024 | 758.63 Mn |
| Dec 31, 2023 | 750.22 Mn |
| Sep 30, 2023 | 742.70 Mn |
| Jun 30, 2023 | 734.30 Mn |
| Mar 31, 2023 | 755.27 Mn |
| Dec 31, 2022 | 785.73 Mn |
| Sep 30, 2022 | 775.67 Mn |
| Jun 30, 2022 | 755.53 Mn |
| Mar 31, 2022 | 767.75 Mn |
| Dec 31, 2021 | 681.82 Mn |
| Sep 30, 2021 | 660.69 Mn |
API Access
TheRealReal Total Liabilities 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=total-liabilities&ticker=REAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();