LendingTree (TREE) Receivables (2010 - 2026)
LendingTree (TREE) recorded Receivables of $149.29 million in Q2 2026, up 18.3% from $126.19 million a year earlier and up 27.1% from the prior quarter.
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Analysis
LendingTree (TREE) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, LendingTree reported Receivables of $110.58 million, up 13.1% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $97.79 million in FY2024 (+77.9%), $54.95 million in FY2023 (-33.8%), $83.06 million in FY2022 (-14.9%) and $97.66 million in FY2021 (-0.8%).
- Quarterly Receivables has ranged from $54.95 million in Q4 2023 to $149.44 million in Q3 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for nine consecutive quarters, with growth averaging 39.1% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 94.7% in Q3 2024, against a decline of 34.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $117.49 million (Q1 2026), $110.58 million (Q4 2025) and $149.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 21.75 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 | 466.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 4.34 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 | 890.92 Mn |
| 10 | LendingTree | 369.86 Mn | 23.93 Mn | 302.15 Mn | 149.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.29 Mn |
| Mar 31, 2026 | 117.49 Mn |
| Dec 31, 2025 | 110.58 Mn |
| Sep 30, 2025 | 149.44 Mn |
| Jun 30, 2025 | 126.19 Mn |
| Mar 31, 2025 | 85.24 Mn |
| Dec 31, 2024 | 97.79 Mn |
| Sep 30, 2024 | 125.26 Mn |
| Jun 30, 2024 | 107.71 Mn |
| Mar 31, 2024 | 63.32 Mn |
| Dec 31, 2023 | 54.95 Mn |
| Sep 30, 2023 | 64.33 Mn |
| Jun 30, 2023 | 75.71 Mn |
| Mar 31, 2023 | 83.66 Mn |
| Dec 31, 2022 | 83.06 Mn |
| Sep 30, 2022 | 96.33 Mn |
| Jun 30, 2022 | 115.44 Mn |
| Mar 31, 2022 | 114.29 Mn |
| Dec 31, 2021 | 97.66 Mn |
| Sep 30, 2021 | 131.71 Mn |
API Access
LendingTree Receivables 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=receivables&ticker=TREE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TREE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();