Yelp (YELP) EBITDA (2011 - 2026)
Yelp's (YELP) quarterly EBITDA came in at $43.7 million in Q2 2026, down 17.94% year-over-year from $53.3 million in Q2 2025, and up 60.19% quarter-over-quarter from $27.3 million in Q1 2026.
Yelp (YELP) EBITDA (2011 - 2026) Analysis & Trends
Yelp has disclosed EBITDA across 16 years of filings, most recently posting $43.7 million for Q2 2026.
- In Q2 2026, EBITDA fell 17.94% year-over-year to $43.7 million; the TTM figure through Jun 2026 stood at $172.8 million (down 5.49% YoY), while the FY2025 annual figure was $184.5 million, up 22.16% from the prior year.
- EBITDA came in at $43.7 million for Q2 2026 at Yelp, up from $27.3 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $53.4 million in Q4 2024 to a low of -$6.6 million in Q1 2023.
- Average EBITDA over 5 years is $30.2 million, with a median of $31.4 million recorded in 2022.
- The largest YoY upside for EBITDA was 387.62% in 2022 against a maximum downside of 218.61% in 2022.
- Over 5 years, EBITDA stood at $33.4 million in 2022, then declined by 25.07% to $25.0 million in 2023, then jumped by 113.59% to $53.4 million in 2024, then slipped by 8.5% to $48.9 million in 2025, then decreased by 10.55% to $43.7 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $43.7 million in Q2 2026, $27.3 million in Q1 2026, and $48.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 18.78 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 231.72 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | 54.76 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | -55.20 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 260.78 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | -170.72 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | -61.08 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | 21.61 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn | 43.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.73 Mn |
| Mar 31, 2026 | 27.30 Mn |
| Dec 31, 2025 | 48.89 Mn |
| Sep 30, 2025 | 52.89 Mn |
| Jun 30, 2025 | 53.29 Mn |
| Mar 31, 2025 | 29.46 Mn |
| Dec 31, 2024 | 53.43 Mn |
| Sep 30, 2024 | 46.65 Mn |
| Jun 30, 2024 | 39.75 Mn |
| Mar 31, 2024 | 11.22 Mn |
| Dec 31, 2023 | 25.02 Mn |
| Sep 30, 2023 | 41.87 Mn |
| Jun 30, 2023 | 18.74 Mn |
| Mar 31, 2023 | -6.59 Mn |
| Dec 31, 2022 | 33.38 Mn |
| Sep 30, 2022 | 13.42 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | -4.46 Mn |
| Dec 31, 2021 | -11.61 Mn |
| Sep 30, 2021 | 33.55 Mn |
Yelp 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=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "YELP", "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=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();