Angi (ANGI) EBITDA (2017 - 2026)
Angi's EBITDA came in at -$212.71 million for Q2 2026, compared with $27.95 million a year earlier.
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Analysis
Angi (ANGI) EBITDA (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Angi reported EBITDA of -$154.66 million; for FY2025, it came in at $112.53 million, up 1.8% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $110.54 million in FY2024 (+47.3%), $75.06 million in FY2023 (+378.8%), $15.68 million in FY2022 (+117.6%) and $7.21 million in FY2021 (-91.9%).
- The Q2 2026 figure represents the lowest quarterly EBITDA in data going back to Q1 2017.
- Year-over-year, EBITDA increased in three of the last seven quarters, with an average decline of 7.3%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2024 (growth of 260.9%), and the weakest in Q3 2021 (a decline of 84.9%).
- Business Quant data shows ANGI's EBITDA at $5.23 million (Q1 2026), $19.12 million (Q4 2025) and $33.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Angi | 276.77 Mn | -800.90 Mn | 236.33 Mn | -212.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -212.71 Mn |
| Mar 31, 2026 | 5.23 Mn |
| Dec 31, 2025 | 19.12 Mn |
| Sep 30, 2025 | 33.70 Mn |
| Jun 30, 2025 | 27.95 Mn |
| Mar 31, 2025 | 29.95 Mn |
| Dec 31, 2024 | 25.08 Mn |
| Sep 30, 2024 | 25.39 Mn |
| Jun 30, 2024 | 33.51 Mn |
| Mar 31, 2024 | 26.57 Mn |
| Dec 31, 2023 | 31.54 Mn |
| Sep 30, 2023 | 17.26 Mn |
| Jun 30, 2023 | 9.29 Mn |
| Mar 31, 2023 | 16.97 Mn |
| Dec 31, 2022 | 25.05 Mn |
| Sep 30, 2022 | 10.51 Mn |
| Jun 30, 2022 | -3.73 Mn |
| Mar 31, 2022 | -16.15 Mn |
| Dec 31, 2021 | -3.54 Mn |
| Sep 30, 2021 | 3.58 Mn |
API Access
Angi EBITDA 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=ebitda&ticker=ANGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();