Angi (ANGI) Other Operating Expenses (2017 - 2026)
Angi's Other Operating Expenses came in at $377.46 million for Q2 2026, up 170.7% from $139.45 million a year earlier and up 169.7% from the prior quarter.
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Analysis
Angi (ANGI) Other Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Angi reported Other Operating Expenses of $768.76 million, up 40.6% year-over-year; for FY2025, it was $509.34 million, down 15.7% from FY2024.
- Other Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 234.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $604.24 million in FY2024 (-21.8%), $773.16 million in FY2023 (-14.5%), $904.1 million in FY2022 (+1.9%) and $887.64 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2017.
- Year-over-year, Other Operating Expenses increased in two of the last eight quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2021 (growth of 256.2%), and the weakest in Q2 2024 (a decline of 25.2%).
- Business Quant data shows ANGI's Other Operating Expenses at $139.96 million (Q1 2026), $122.03 million (Q4 2025) and $129.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Angi | 286.73 Mn | -790.94 Mn | 236.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.46 Mn |
| Mar 31, 2026 | 139.96 Mn |
| Dec 31, 2025 | 122.03 Mn |
| Sep 30, 2025 | 129.31 Mn |
| Jun 30, 2025 | 139.45 Mn |
| Mar 31, 2025 | 118.54 Mn |
| Dec 31, 2024 | 133.42 Mn |
| Sep 30, 2024 | 155.44 Mn |
| Jun 30, 2024 | 158.32 Mn |
| Mar 31, 2024 | 157.05 Mn |
| Dec 31, 2023 | 156.61 Mn |
| Sep 30, 2023 | 202.74 Mn |
| Jun 30, 2023 | 211.54 Mn |
| Mar 31, 2023 | 202.27 Mn |
| Dec 31, 2022 | 181.33 Mn |
| Sep 30, 2022 | 238.20 Mn |
| Jun 30, 2022 | 254.96 Mn |
| Mar 31, 2022 | 229.61 Mn |
| Dec 31, 2021 | 192.40 Mn |
| Sep 30, 2021 | 241.61 Mn |
API Access
Angi Other 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=other-operating-expenses&ticker=ANGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();