LendingTree (TREE) Amortization - Intangibles (2010 - 2026)
LendingTree's Amortization - Intangibles came in at $1.29 million for Q2 2026, down 1.5% from $1.31 million a year earlier and unchanged from the prior quarter.
LendingTree (TREE) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LendingTree reported Amortization - Intangibles of $5.15 million, down 7.1% year-over-year; for FY2025, it was $5.19 million, down 11.9% from FY2024.
- Amortization - Intangibles has declined in each of the last six years, with a five-year compound annual growth rate of -37.2% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $5.89 million in FY2024 (-23.5%), $7.69 million in FY2023 (-69.6%), $25.31 million in FY2022 (-40.8%) and $42.74 million in FY2021 (-19.5%).
- The five-year range for quarterly Amortization - Intangibles is $1.29 million (Q3 2025) to $10.35 million (Q3 2021).
- Year-over-year, Amortization - Intangibles has declined for 25 consecutive quarters, with an average decline of 11.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Amortization - Intangibles ran from 1.5% in Q2 2026 to 74.1% in Q1 2023.
- Business Quant data shows TREE's Amortization - Intangibles at $1.29 million (Q1 2026), $1.29 million (Q4 2025) and $1.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn |
| 10 | LendingTree | 369.86 Mn | 23.93 Mn | 302.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.31 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 1.47 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | 1.68 Mn |
| Sep 30, 2023 | 1.98 Mn |
| Jun 30, 2023 | 1.98 Mn |
| Mar 31, 2023 | 2.05 Mn |
| Dec 31, 2022 | 3.73 Mn |
| Sep 30, 2022 | 6.58 Mn |
| Jun 30, 2022 | 7.08 Mn |
| Mar 31, 2022 | 7.92 Mn |
| Dec 31, 2021 | 9.77 Mn |
| Sep 30, 2021 | 10.35 Mn |
LendingTree Amortization - Intangibles 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=amortization-intangibles&ticker=TREE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();