Angi (ANGI) Cash & Equivalents (2016 - 2026)
Angi's Cash & Equivalents was $188.7 million in Q2 2026, down 47.9% from $362.48 million a year earlier and down 22.8% from the prior quarter.
Analysis
Angi (ANGI) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Angi came in at $303.7 million, down 27.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $416.43 million in FY2024 (+14.4%), $364.04 million in FY2023 (+13.4%), $321.16 million in FY2022 (-25.0%) and $428.14 million in FY2021 (-47.3%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q3 2017.
- Compared with a year earlier, Cash & Equivalents has declined for five straight quarters, with an average decline of 12.9% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2024 (growth of 15.4%); the worst was Q1 2022 (a decline of 49.6%).
- Per Business Quant data, ANGI's Cash & Equivalents in the three quarters before Q2 2026 was $244.58 million (Q1 2026), $303.7 million (Q4 2025) and $340.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Angi | 301.17 Mn | -776.51 Mn | 236.33 Mn | 188.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.70 Mn |
| Mar 31, 2026 | 244.58 Mn |
| Dec 31, 2025 | 303.70 Mn |
| Sep 30, 2025 | 340.69 Mn |
| Jun 30, 2025 | 362.48 Mn |
| Mar 31, 2025 | 386.56 Mn |
| Dec 31, 2024 | 416.43 Mn |
| Sep 30, 2024 | 395.23 Mn |
| Jun 30, 2024 | 384.90 Mn |
| Mar 31, 2024 | 363.34 Mn |
| Dec 31, 2023 | 364.04 Mn |
| Sep 30, 2023 | 366.83 Mn |
| Jun 30, 2023 | 370.58 Mn |
| Mar 31, 2023 | 314.96 Mn |
| Dec 31, 2022 | 321.16 Mn |
| Sep 30, 2022 | 328.80 Mn |
| Jun 30, 2022 | 360.95 Mn |
| Mar 31, 2022 | 391.29 Mn |
| Dec 31, 2021 | 428.14 Mn |
| Sep 30, 2021 | 476.63 Mn |
API Access
Angi Cash & Equivalents 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=cash-and-equivalents&ticker=ANGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();