Yelp (YELP) Operating Expenses (2011 - 2026)
Yelp's (YELP) quarterly Operating Expenses came in at $331.8 million in Q2 2026, up 4.63% year-over-year from $317.1 million in Q2 2025, and down 0.71% quarter-over-quarter from $334.2 million in Q1 2026.
Yelp (YELP) Operating Expenses (2011 - 2026) Analysis & Trends
Yelp has disclosed Operating Expenses across 15 years of filings, most recently posting $331.8 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 4.63% year-over-year to $331.8 million; the TTM figure through Jun 2026 stood at $1.3 billion (up 2.51% YoY), while the FY2025 annual figure was $1.3 billion, up 1.54% from the prior year.
- Operating Expenses came in at $331.8 million for Q2 2026 at Yelp, down from $334.2 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $334.2 million in Q1 2026 to a low of $275.7 million in Q4 2022.
- Average Operating Expenses over 5 years is $311.1 million, with a median of $317.2 million recorded in 2024.
- Year-over-year, Operating Expenses climbed 19.38% in 2022 and fell 2.78% in 2024.
- Over 5 years, Operating Expenses stood at $275.7 million in 2022, then advanced by 15.1% to $317.4 million in 2023, then decreased by 2.78% to $308.5 million in 2024, then rose by 0.84% to $311.1 million in 2025, then grew by 6.65% to $331.8 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $331.8 million in Q2 2026, $334.2 million in Q1 2026, and $311.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 42.03 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 573.19 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | -379.21 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | 1.23 Bn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 607.66 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | 1.77 Bn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | 111.15 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | -188.24 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn | 331.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 331.79 Mn |
| Mar 31, 2026 | 334.16 Mn |
| Dec 31, 2025 | 311.10 Mn |
| Sep 30, 2025 | 323.15 Mn |
| Jun 30, 2025 | 317.10 Mn |
| Mar 31, 2025 | 329.07 Mn |
| Dec 31, 2024 | 308.52 Mn |
| Sep 30, 2024 | 313.69 Mn |
| Jun 30, 2024 | 317.27 Mn |
| Mar 31, 2024 | 321.54 Mn |
| Dec 31, 2023 | 317.36 Mn |
| Sep 30, 2023 | 303.25 Mn |
| Jun 30, 2023 | 318.38 Mn |
| Mar 31, 2023 | 319.03 Mn |
| Dec 31, 2022 | 275.72 Mn |
| Sep 30, 2022 | 295.47 Mn |
| Jun 30, 2022 | 282.88 Mn |
| Mar 31, 2022 | 281.08 Mn |
| Dec 31, 2021 | 253.81 Mn |
| Sep 30, 2021 | 247.51 Mn |
Yelp Operating Expenses 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=operating-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();