Angi (ANGI) Receivables (2016 - 2026)
Angi (ANGI) posted Receivables of $36.57 million for Q2 2026, down 18.4% from $44.81 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Angi (ANGI) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Angi's Receivables came in at $40.92 million, down 33.5% from FY2024.
- Annual Receivables has declined for four consecutive years, with a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- In prior years, Angi's Receivables was $61.54 million in FY2024 (-28.5%), $86.03 million in FY2023 (-21.2%), $109.19 million in FY2022 (-12.2%) and $124.29 million in FY2021 (+34.6%).
- The Q2 2026 figure stands as the lowest quarterly Receivables since Q1 2018.
- On a year-over-year basis, Receivables has declined in each of the last 15 quarters, with an average decline of 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 56.5%; the weakest was Q2 2023, with a decline of 53.1%.
- According to Business Quant data, Receivables for the three prior quarters was $37.37 million (Q1 2026), $40.92 million (Q4 2025) and $38.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.17 Bn |
| 10 | Angi | 276.77 Mn | -800.90 Mn | 236.33 Mn | 36.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.57 Mn |
| Mar 31, 2026 | 37.37 Mn |
| Dec 31, 2025 | 40.92 Mn |
| Sep 30, 2025 | 38.35 Mn |
| Jun 30, 2025 | 44.81 Mn |
| Mar 31, 2025 | 40.48 Mn |
| Dec 31, 2024 | 61.54 Mn |
| Sep 30, 2024 | 52.40 Mn |
| Jun 30, 2024 | 66.33 Mn |
| Mar 31, 2024 | 60.81 Mn |
| Dec 31, 2023 | 86.03 Mn |
| Sep 30, 2023 | 77.27 Mn |
| Jun 30, 2023 | 78.48 Mn |
| Mar 31, 2023 | 126.10 Mn |
| Dec 31, 2022 | 109.19 Mn |
| Sep 30, 2022 | 150.15 Mn |
| Jun 30, 2022 | 167.37 Mn |
| Mar 31, 2022 | 140.64 Mn |
| Dec 31, 2021 | 124.29 Mn |
| Sep 30, 2021 | 138.84 Mn |
API Access
Angi 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=ANGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "ANGI", "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=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();