LendingTree (TREE) Operating Expenses (2010 - 2026)
LendingTree's Operating Expenses came in at $291.62 million for Q2 2026, up 27.2% from $229.19 million a year earlier but down 1.5% from the prior quarter.
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Analysis
LendingTree (TREE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LendingTree reported Operating Expenses of $1.16 billion, up 20.0% year-over-year; for FY2025, it came in at $1.05 billion, up 23.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $855.59 million in FY2024 (+20.0%), $713.11 million in FY2023 (-29.9%), $1.02 billion in FY2022 (-6.7%) and $1.09 billion in FY2021 (+19.0%).
- The five-year range for quarterly Operating Expenses is $134.57 million (Q4 2023) to $297.46 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for nine consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 81.0%), and the weakest in Q4 2023 (a decline of 35.7%).
- Business Quant data shows TREE's Operating Expenses at $296.15 million (Q1 2026), $297.46 million (Q4 2025) and $279.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | LendingTree | 354.43 Mn | 8.50 Mn | 302.15 Mn | 291.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 291.62 Mn |
| Mar 31, 2026 | 296.15 Mn |
| Dec 31, 2025 | 297.46 Mn |
| Sep 30, 2025 | 279.03 Mn |
| Jun 30, 2025 | 229.19 Mn |
| Mar 31, 2025 | 246.84 Mn |
| Dec 31, 2024 | 243.58 Mn |
| Sep 30, 2024 | 250.87 Mn |
| Jun 30, 2024 | 200.55 Mn |
| Mar 31, 2024 | 160.59 Mn |
| Dec 31, 2023 | 134.57 Mn |
| Sep 30, 2023 | 189.18 Mn |
| Jun 30, 2023 | 175.84 Mn |
| Mar 31, 2023 | 213.52 Mn |
| Dec 31, 2022 | 209.41 Mn |
| Sep 30, 2022 | 256.41 Mn |
| Jun 30, 2022 | 265.82 Mn |
| Mar 31, 2022 | 286.12 Mn |
| Dec 31, 2021 | 266.31 Mn |
| Sep 30, 2021 | 290.03 Mn |
API Access
LendingTree Operating 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=operating-expenses&ticker=TREE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();