LendingTree (TREE) Total Liabilities (2010 - 2026)
LendingTree (TREE) reported Total Liabilities of $590.86 million for Q2 2026, down 17.7% from $717.65 million a year earlier but up 5.7% from the prior quarter.
LendingTree (TREE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, LendingTree posted Total Liabilities of $568.9 million, down 13.7% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $658.85 million in FY2024 (-2.9%), $678.63 million in FY2023 (-31.5%), $991.37 million in FY2022 (+16.4%) and $851.36 million in FY2021 (+3.3%).
- Five-year quarterly Total Liabilities spans a low of $559.15 million in Q1 2026 and a high of $1.01 billion in Q2 2022.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 9.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 19.8%); the low point was Q4 2023 (a decline of 31.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $559.15 million (Q1 2026), $568.9 million (Q4 2025) and $627.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.13 Bn |
| 10 | LendingTree | 354.43 Mn | 8.50 Mn | 302.15 Mn | 590.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 590.86 Mn |
| Mar 31, 2026 | 559.15 Mn |
| Dec 31, 2025 | 568.90 Mn |
| Sep 30, 2025 | 627.52 Mn |
| Jun 30, 2025 | 717.65 Mn |
| Mar 31, 2025 | 673.36 Mn |
| Dec 31, 2024 | 658.85 Mn |
| Sep 30, 2024 | 692.91 Mn |
| Jun 30, 2024 | 656.37 Mn |
| Mar 31, 2024 | 795.18 Mn |
| Dec 31, 2023 | 678.63 Mn |
| Sep 30, 2023 | 782.36 Mn |
| Jun 30, 2023 | 797.42 Mn |
| Mar 31, 2023 | 811.32 Mn |
| Dec 31, 2022 | 991.37 Mn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 948.62 Mn |
| Dec 31, 2021 | 851.36 Mn |
| Sep 30, 2021 | 853.45 Mn |
LendingTree 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=TREE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TREE", "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=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();