Yelp (YELP) EBITDA (2011 - 2026)
Yelp's EBITDA was $67.34 million in Q2 2026, down 6.1% from $71.68 million a year earlier but up 37.2% from the prior quarter.
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Analysis
Yelp (YELP) EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Yelp's EBITDA was $259.48 million through Jun 30, 2026, up 2.6% year-over-year; for FY2025, it came in at $262.56 million, up 21.4% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 56.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $216.31 million in FY2024 (+48.9%), $145.26 million in FY2023 (+19.0%), $122.03 million in FY2022 (+19.9%) and $101.81 million in FY2021 (+266.6%).
- Quarterly EBITDA has moved between $9.96 million (Q1 2023) and $71.72 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA was higher in seven of the last eight quarters, with growth averaging 24.3%.
- The best year-over-year quarter for EBITDA over five years was Q1 2024 (growth of 174.2%); the worst was Q3 2022 (a decline of 21.4%).
- Per Business Quant data, YELP's EBITDA in the three quarters before Q2 2026 was $49.09 million (Q1 2026), $71.72 million (Q4 2025) and $71.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,155.16 Bn | 3,912.68 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,765.27 Bn | 1,467.79 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 292.90 Bn | 253.10 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 252.22 Bn | 66.00 Bn | 15.11 Bn | - |
| 5 | Shopify | 226.10 Bn | 203.28 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 140.31 Bn | 112.11 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 125.62 Bn | 58.67 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 113.96 Bn | -129.82 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 109.24 Bn | 66.74 Bn | 1.86 Bn | 795.06 Mn |
| 10 | Yelp | 1.13 Bn | 269.10 Mn | 333.74 Mn | 67.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.34 Mn |
| Mar 31, 2026 | 49.09 Mn |
| Dec 31, 2025 | 71.72 Mn |
| Sep 30, 2025 | 71.34 Mn |
| Jun 30, 2025 | 71.68 Mn |
| Mar 31, 2025 | 47.82 Mn |
| Dec 31, 2024 | 71.25 Mn |
| Sep 30, 2024 | 62.26 Mn |
| Jun 30, 2024 | 55.50 Mn |
| Mar 31, 2024 | 27.30 Mn |
| Dec 31, 2023 | 41.54 Mn |
| Sep 30, 2023 | 58.44 Mn |
| Jun 30, 2023 | 35.34 Mn |
| Mar 31, 2023 | 9.96 Mn |
| Dec 31, 2022 | 49.42 Mn |
| Sep 30, 2022 | 29.91 Mn |
| Jun 30, 2022 | 31.63 Mn |
| Mar 31, 2022 | 11.07 Mn |
| Dec 31, 2021 | 40.67 Mn |
| Sep 30, 2021 | 38.07 Mn |
API Access
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_KEYimport 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();