Angi (ANGI) Selling, General & Administrative (2017 - 2026)
Angi (ANGI) reported Selling, General & Administrative of $59.89 million for Q2 2026, down 19.2% from $74.08 million a year earlier but up 3.4% from the prior quarter.
Angi (ANGI) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Angi's Selling, General & Administrative came in at $249.29 million, down 11.4% year-over-year; for FY2025, it was $262.88 million, down 17.9% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, with a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $320 million in FY2024 (-11.0%), $359.39 million in FY2023 (-19.6%), $447.14 million in FY2022 (+13.2%) and $394.97 million in FY2021 (+5.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $57.32 million in Q1 2025 and a high of $128.26 million in Q3 2022.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 13.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 24.4%); the low point was Q1 2025 (a decline of 33.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.93 million (Q1 2026), $62.07 million (Q4 2025) and $69.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Angi | 301.17 Mn | -776.51 Mn | 236.33 Mn | 59.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.89 Mn |
| Mar 31, 2026 | 57.93 Mn |
| Dec 31, 2025 | 62.07 Mn |
| Sep 30, 2025 | 69.41 Mn |
| Jun 30, 2025 | 74.08 Mn |
| Mar 31, 2025 | 57.32 Mn |
| Dec 31, 2024 | 73.28 Mn |
| Sep 30, 2024 | 76.83 Mn |
| Jun 30, 2024 | 84.37 Mn |
| Mar 31, 2024 | 85.52 Mn |
| Dec 31, 2023 | 70.85 Mn |
| Sep 30, 2023 | 98.70 Mn |
| Jun 30, 2023 | 93.17 Mn |
| Mar 31, 2023 | 96.67 Mn |
| Dec 31, 2022 | 89.60 Mn |
| Sep 30, 2022 | 128.26 Mn |
| Jun 30, 2022 | 119.63 Mn |
| Mar 31, 2022 | 109.66 Mn |
| Dec 31, 2021 | 96.24 Mn |
| Sep 30, 2021 | 103.09 Mn |
Angi Selling, General & Administrative 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=selling-general-and-administrative&ticker=ANGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();