Angi (ANGI) Operating Expenses (2017 - 2026)
Angi's Operating Expenses came in at $470.08 million for Q2 2026, up 90.0% from $247.41 million a year earlier and up 97.6% from the prior quarter.
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Analysis
Angi (ANGI) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Angi reported Operating Expenses of $1.17 billion, up 18.4% year-over-year; for FY2025, it came in at $917.69 million, down 17.0% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.11 billion in FY2024 (-16.4%), $1.32 billion in FY2023 (-12.0%), $1.5 billion in FY2022 (+6.4%) and $1.41 billion in FY2021 (+8.6%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2017.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 90.0%), and the weakest in Q1 2025 (a decline of 26.6%).
- Business Quant data shows ANGI's Operating Expenses at $237.92 million (Q1 2026), $226 million (Q4 2025) and $231.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Angi | 276.77 Mn | -800.90 Mn | 236.33 Mn | 470.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 470.08 Mn |
| Mar 31, 2026 | 237.92 Mn |
| Dec 31, 2025 | 226.00 Mn |
| Sep 30, 2025 | 231.39 Mn |
| Jun 30, 2025 | 247.41 Mn |
| Mar 31, 2025 | 212.90 Mn |
| Dec 31, 2024 | 249.53 Mn |
| Sep 30, 2024 | 274.15 Mn |
| Jun 30, 2024 | 291.80 Mn |
| Mar 31, 2024 | 290.18 Mn |
| Dec 31, 2023 | 275.57 Mn |
| Sep 30, 2023 | 345.43 Mn |
| Jun 30, 2023 | 352.26 Mn |
| Mar 31, 2023 | 349.44 Mn |
| Dec 31, 2022 | 322.53 Mn |
| Sep 30, 2022 | 400.04 Mn |
| Jun 30, 2022 | 408.90 Mn |
| Mar 31, 2022 | 371.12 Mn |
| Dec 31, 2021 | 318.40 Mn |
| Sep 30, 2021 | 377.07 Mn |
API Access
Angi Operating Expenses 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=operating-expenses&ticker=ANGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();