Yelp (YELP) Other Operating Expenses (2011 - 2026)
Yelp's (YELP) quarterly Other Operating Expenses came in at $130.4 million in Q2 2026, up 3.32% year-over-year from $126.2 million in Q2 2025, and down 1.09% quarter-over-quarter from $131.8 million in Q1 2026.
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Analysis
Yelp (YELP) Other Operating Expenses (2011 - 2026) Analysis & Trends
Yelp has disclosed Other Operating Expenses across 15 years of filings, most recently posting $130.4 million for Q2 2026.
- In Q2 2026, Other Operating Expenses rose 3.32% year-over-year to $130.4 million; the TTM figure through Jun 2026 stood at $511.3 million (up 2.98% YoY), while the FY2025 annual figure was $506.4 million, up 3.32% from the prior year.
- Other Operating Expenses came in at $130.4 million for Q2 2026 at Yelp, down from $131.8 million in the prior quarter.
- In the past five years, Other Operating Expenses ranged from a high of $131.8 million in Q1 2026 to a low of $111.4 million in Q4 2022.
- Average Other Operating Expenses over 5 years is $122.4 million, with a median of $122.3 million recorded in 2024.
- The largest YoY upside for Other Operating Expenses was 38.37% in 2022 against a maximum downside of 21.98% in 2022.
- Over 5 years, Other Operating Expenses stood at $111.4 million in 2022, then advanced by 6.15% to $118.2 million in 2023, then advanced by 1.29% to $119.8 million in 2024, then advanced by 2.0% to $122.2 million in 2025, then advanced by 6.71% to $130.4 million in 2026.
- Per Business Quant data, the three most recent Other Operating Expenses figures were $130.4 million in Q2 2026, $131.8 million in Q1 2026, and $122.2 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.36 Mn |
| Mar 31, 2026 | 131.80 Mn |
| Dec 31, 2025 | 122.17 Mn |
| Sep 30, 2025 | 126.95 Mn |
| Jun 30, 2025 | 126.17 Mn |
| Mar 31, 2025 | 131.08 Mn |
| Dec 31, 2024 | 119.77 Mn |
| Sep 30, 2024 | 119.46 Mn |
| Jun 30, 2024 | 122.34 Mn |
| Mar 31, 2024 | 128.51 Mn |
| Dec 31, 2023 | 118.24 Mn |
| Sep 30, 2023 | 119.85 Mn |
| Jun 30, 2023 | 125.83 Mn |
| Mar 31, 2023 | 125.06 Mn |
| Dec 31, 2022 | 111.40 Mn |
| Sep 30, 2022 | 114.03 Mn |
| Jun 30, 2022 | 115.09 Mn |
| Mar 31, 2022 | 115.60 Mn |
| Dec 31, 2021 | 142.77 Mn |
| Sep 30, 2021 | 91.31 Mn |
API Access
Yelp Other 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=other-operating-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();