LendingTree (TREE) Capital Expenditures (2010 - 2026)
LendingTree's Capital Expenditures was $3.17 million in Q2 2026, up 15.3% from $2.74 million a year earlier and up 14.3% from the prior quarter.
LendingTree (TREE) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, LendingTree's Capital Expenditures was $12.2 million through Jun 30, 2026, up 2.5% year-over-year; for FY2025, it was $12.42 million, up 10.7% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $11.22 million in FY2024 (-10.4%), $12.53 million in FY2023 (+9.5%), $11.44 million in FY2022 (-67.4%) and $35.07 million in FY2021 (-16.8%).
- Quarterly Capital Expenditures has moved between $2.4 million (Q2 2023) and $6.93 million (Q3 2021) over five years.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 0.7%.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2023 (growth of 93.4%); the worst was Q4 2021 (a decline of 79.1%).
- Per Business Quant data, TREE's Capital Expenditures in the three quarters before Q2 2026 was $2.77 million (Q1 2026), $3 million (Q4 2025) and $3.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,148.96 Bn | 3,906.49 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,758.24 Bn | 1,460.76 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 292.87 Bn | 253.07 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 252.56 Bn | 66.33 Bn | 15.11 Bn | -9.97 Bn |
| 5 | Shopify | 226.08 Bn | 203.26 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 140.21 Bn | 112.01 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 125.45 Bn | 58.50 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 114.11 Bn | -129.67 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.73 Bn | 66.24 Bn | 1.86 Bn | -23.25 Mn |
| 10 | LendingTree | 370.56 Mn | 24.63 Mn | 302.15 Mn | 3.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 Mn |
| Mar 31, 2026 | 2.77 Mn |
| Dec 31, 2025 | 3.00 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | 3.41 Mn |
| Dec 31, 2024 | 2.82 Mn |
| Sep 30, 2024 | 2.92 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | 2.75 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Sep 30, 2023 | 5.08 Mn |
| Jun 30, 2023 | 2.40 Mn |
| Mar 31, 2023 | 2.45 Mn |
| Dec 31, 2022 | 2.47 Mn |
| Sep 30, 2022 | 2.62 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 3.47 Mn |
| Dec 31, 2021 | 4.55 Mn |
| Sep 30, 2021 | 6.93 Mn |
LendingTree Capital Expenditures 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=capital-expenditures&ticker=TREE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();