ThredUp (TDUP) Total Non-Current Liabilities (2020 - 2026)
ThredUp (TDUP) reported Total Non-Current Liabilities of $106.47 million for Q2 2026, down 4.0% from $110.89 million a year earlier and down 3.3% from the prior quarter.
ThredUp (TDUP) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, ThredUp posted Total Non-Current Liabilities of $105.24 million, down 6.2% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -21.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $112.16 million in FY2024 (-22.1%), $143.93 million in FY2023 (-9.4%), $158.93 million in FY2022 (+3.2%) and $153.97 million in FY2021 (-57.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $105.24 million in Q4 2025 and a high of $175.34 million in Q2 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 14 quarters, with an average decline of 13.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 35.3%); the low point was Q4 2021 (a decline of 57.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $110.11 million (Q1 2026), $105.24 million (Q4 2025) and $110.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | ThredUp | 278.35 Mn | 77.23 Mn | 72.52 Mn | 106.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.47 Mn |
| Mar 31, 2026 | 110.11 Mn |
| Dec 31, 2025 | 105.24 Mn |
| Sep 30, 2025 | 110.84 Mn |
| Jun 30, 2025 | 110.89 Mn |
| Mar 31, 2025 | 113.93 Mn |
| Dec 31, 2024 | 112.16 Mn |
| Sep 30, 2024 | 142.67 Mn |
| Jun 30, 2024 | 141.80 Mn |
| Mar 31, 2024 | 147.87 Mn |
| Dec 31, 2023 | 143.93 Mn |
| Sep 30, 2023 | 152.61 Mn |
| Jun 30, 2023 | 152.53 Mn |
| Mar 31, 2023 | 160.62 Mn |
| Dec 31, 2022 | 158.93 Mn |
| Sep 30, 2022 | 166.99 Mn |
| Jun 30, 2022 | 175.34 Mn |
| Mar 31, 2022 | 171.02 Mn |
| Dec 31, 2021 | 153.97 Mn |
| Sep 30, 2021 | 132.36 Mn |
ThredUp 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=TDUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TDUP", "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=TDUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();