TheRealReal (REAL) Total Non-Current Liabilities (2018 - 2026)
TheRealReal (REAL) reported Total Non-Current Liabilities of $681.33 million for Q2 2026, up 3.8% from $656.08 million a year earlier but down 1.1% from the prior quarter.
TheRealReal (REAL) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, TheRealReal posted Total Non-Current Liabilities of $710.2 million, down 5.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $751.89 million in FY2024 (+0.2%), $750.22 million in FY2023 (-4.1%), $782.48 million in FY2022 (+15.2%) and $679.53 million in FY2021 (+64.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $656.08 million in Q2 2025 and a high of $782.48 million in Q4 2022.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 72.0%); the low point was Q2 2025 (a decline of 9.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $689.18 million (Q1 2026), $710.2 million (Q4 2025) and $675.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.24 Bn | 22.45 Bn | 4.80 Bn | - |
| 2 | Tapestry | 24.04 Bn | 20.00 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.86 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Deckers Outdoor | 12.43 Bn | 5.30 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 11.22 Bn | 5.47 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 8.15 Bn | 4.74 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 6.83 Bn | 3.45 Bn | 917.04 Mn | 7.07 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 4.37 Bn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.47 Bn | 493.89 Mn | 2.70 Bn |
| 10 | TheRealReal | 1.34 Bn | 840.86 Mn | 143.20 Mn | 673.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 673.69 Mn |
| Mar 31, 2026 | 689.18 Mn |
| Dec 31, 2025 | 702.85 Mn |
| Sep 30, 2025 | 670.25 Mn |
| Jun 30, 2025 | 656.08 Mn |
| Mar 31, 2025 | 700.36 Mn |
| Dec 31, 2024 | 751.89 Mn |
| Sep 30, 2024 | 732.04 Mn |
| Jun 30, 2024 | 722.31 Mn |
| Mar 31, 2024 | 732.63 Mn |
| Dec 31, 2023 | 750.22 Mn |
| Sep 30, 2023 | 738.60 Mn |
| Jun 30, 2023 | 731.23 Mn |
| Mar 31, 2023 | 751.98 Mn |
| Dec 31, 2022 | 782.48 Mn |
| Sep 30, 2022 | 773.09 Mn |
| Jun 30, 2022 | 753.54 Mn |
| Mar 31, 2022 | 765.65 Mn |
| Dec 31, 2021 | 679.53 Mn |
| Sep 30, 2021 | 658.79 Mn |
TheRealReal Total Non-Current 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-non-current-liabilities&ticker=REAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=REAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();