Yelp (YELP) EBT (2011 - 2026)
Yelp's (YELP) quarterly EBT came in at $44.5 million in Q2 2026, down 24.62% year-over-year from $59.0 million in Q2 2025, and up 48.79% quarter-over-quarter from $29.9 million in Q1 2026.
Yelp (YELP) EBT (2011 - 2026) Analysis & Trends
Yelp has disclosed EBT across 16 years of filings, most recently posting $44.5 million for Q2 2026.
- In Q2 2026, EBT fell 24.62% year-over-year to $44.5 million; the TTM figure through Jun 2026 stood at $184.2 million (down 11.53% YoY), while the FY2025 annual figure was $204.0 million, up 11.52% from the prior year.
- EBT came in at $44.5 million for Q2 2026 at Yelp, up from $29.9 million in the prior quarter.
- In the past five years, EBT ranged from a high of $60.1 million in Q4 2024 to a low of -$3.5 million in Q1 2022.
- Average EBT over 5 years is $35.2 million, with a median of $36.0 million recorded in 2022.
- The largest YoY upside for EBT was 3314.84% in 2022 against a maximum downside of 26.67% in 2022.
- Over 5 years, EBT stood at $36.9 million in 2022, then decreased by 8.33% to $33.8 million in 2023, then jumped by 77.77% to $60.1 million in 2024, then dropped by 14.13% to $51.6 million in 2025, then dropped by 13.79% to $44.5 million in 2026.
- Per Business Quant data, the three most recent EBT figures were $44.5 million in Q2 2026, $29.9 million in Q1 2026, and $51.6 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 18.76 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 256.84 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | 54.56 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | -49.16 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 214.65 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | -161.49 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | -80.75 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | 40.71 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn | 44.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.46 Mn |
| Mar 31, 2026 | 29.88 Mn |
| Dec 31, 2025 | 51.58 Mn |
| Sep 30, 2025 | 58.24 Mn |
| Jun 30, 2025 | 58.99 Mn |
| Mar 31, 2025 | 35.23 Mn |
| Dec 31, 2024 | 60.07 Mn |
| Sep 30, 2024 | 53.88 Mn |
| Jun 30, 2024 | 50.07 Mn |
| Mar 31, 2024 | 18.94 Mn |
| Dec 31, 2023 | 33.79 Mn |
| Sep 30, 2023 | 48.03 Mn |
| Jun 30, 2023 | 24.64 Mn |
| Mar 31, 2023 | -1.38 Mn |
| Dec 31, 2022 | 36.86 Mn |
| Sep 30, 2022 | 16.12 Mn |
| Jun 30, 2022 | 17.33 Mn |
| Mar 31, 2022 | -3.53 Mn |
| Dec 31, 2021 | 20.22 Mn |
| Sep 30, 2021 | 21.98 Mn |
Yelp EBT 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=ebt&ticker=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();