Angi (ANGI) Capital Expenditures (2017 - 2026)
Angi (ANGI) recorded Capital Expenditures of $15.01 million in Q2 2026, up 22.5% from $12.25 million a year earlier but down 4.6% from the prior quarter.
Angi (ANGI) Capital Expenditures (2017 - 2026) Analysis & Trends
On a TTM basis, Angi's Capital Expenditures came in at $65.51 million as of Jun 30, 2026, up 31.4% year-over-year; for FY2025, it was $59.6 million, up 18.0% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $50.49 million in FY2024 (+5.7%), $47.78 million in FY2023 (-58.6%), $115.48 million in FY2022 (+65.2%) and $69.91 million in FY2021 (+33.2%).
- Quarterly Capital Expenditures has ranged from $10.45 million in Q2 2023 to $35.24 million in Q2 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for four consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 107.6% in Q2 2022, against a decline of 70.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.73 million (Q1 2026), $18.73 million (Q4 2025) and $16.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -23.25 Mn |
| 10 | Angi | 286.73 Mn | -790.94 Mn | 236.33 Mn | 15.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.01 Mn |
| Mar 31, 2026 | 15.73 Mn |
| Dec 31, 2025 | 18.73 Mn |
| Sep 30, 2025 | 16.05 Mn |
| Jun 30, 2025 | 12.25 Mn |
| Mar 31, 2025 | 12.57 Mn |
| Dec 31, 2024 | 12.95 Mn |
| Sep 30, 2024 | 12.10 Mn |
| Jun 30, 2024 | 12.65 Mn |
| Mar 31, 2024 | 12.80 Mn |
| Dec 31, 2023 | 11.68 Mn |
| Sep 30, 2023 | 13.79 Mn |
| Jun 30, 2023 | 10.45 Mn |
| Mar 31, 2023 | 11.86 Mn |
| Dec 31, 2022 | 19.96 Mn |
| Sep 30, 2022 | 33.38 Mn |
| Jun 30, 2022 | 35.24 Mn |
| Mar 31, 2022 | 26.90 Mn |
| Dec 31, 2021 | 17.85 Mn |
| Sep 30, 2021 | 16.34 Mn |
Angi 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=ANGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();