LendingTree (TREE) Accumulated Expenses (2010 - 2026)
LendingTree (TREE) posted Accumulated Expenses of $111.09 million for Q2 2026, down 2.0% from $113.33 million a year earlier and down 5.5% from the prior quarter.
Powered by 
Analysis
LendingTree (TREE) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, LendingTree's Accumulated Expenses came in at $126.8 million, up 18.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, LendingTree's Accumulated Expenses was $107.19 million in FY2024 (+51.9%), $70.54 million in FY2023 (-6.1%), $75.1 million in FY2022 (-29.6%) and $106.73 million in FY2021 (+5.5%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 27.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2024, with growth of 51.9%; the weakest was Q4 2022, with a decline of 29.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $117.61 million (Q1 2026), $126.8 million (Q4 2025) and $124.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | LendingTree | 354.43 Mn | 8.50 Mn | 302.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.09 Mn |
| Mar 31, 2026 | 117.61 Mn |
| Dec 31, 2025 | 126.80 Mn |
| Sep 30, 2025 | 124.89 Mn |
| Jun 30, 2025 | 113.33 Mn |
| Mar 31, 2025 | 100.47 Mn |
| Dec 31, 2024 | 107.19 Mn |
| Sep 30, 2024 | 97.13 Mn |
| Jun 30, 2024 | 95.17 Mn |
| Mar 31, 2024 | 69.72 Mn |
| Dec 31, 2023 | 70.54 Mn |
| Sep 30, 2023 | 66.99 Mn |
| Jun 30, 2023 | 74.20 Mn |
| Mar 31, 2023 | 84.83 Mn |
| Dec 31, 2022 | 75.10 Mn |
| Sep 30, 2022 | 84.46 Mn |
| Jun 30, 2022 | 94.93 Mn |
| Mar 31, 2022 | 107.88 Mn |
| Dec 31, 2021 | 106.73 Mn |
| Sep 30, 2021 | 114.66 Mn |
API Access
LendingTree Accumulated Expenses 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=accumulated-expenses&ticker=TREE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();