Yelp (YELP) Accumulated Expenses (2011 - 2025)
Yelp's (YELP) quarterly Accumulated Expenses came in at $168.6 million in Q3 2025, up 25.09% year-over-year from $134.7 million in Q3 2024, and up 18.67% quarter-over-quarter from $142.0 million in Q2 2025.
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Analysis
Yelp (YELP) Accumulated Expenses (2011 - 2025) Analysis & Trends
Yelp has disclosed Accumulated Expenses across 14 years of filings, most recently posting $168.6 million for Q3 2025.
- In Q3 2025, Accumulated Expenses rose 25.09% year-over-year to $168.6 million; the TTM figure through Sep 2025 stood at $168.6 million (up 25.09% YoY), while the FY2024 annual figure was $131.3 million, down 1.12% from the prior year.
- Accumulated Expenses came in at $168.6 million for Q3 2025 at Yelp, up from $142.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $171.9 million in Q2 2023 to a low of $97.3 million in Q1 2021.
- Average Accumulated Expenses over 5 years is $136.9 million, with a median of $138.0 million recorded in 2022.
- Year-over-year, Accumulated Expenses jumped 50.35% in 2022 and plunged 31.48% in 2024.
- Over 5 years, Accumulated Expenses stood at $119.6 million in 2021, then rose by 15.32% to $138.0 million in 2022, then fell by 3.73% to $132.8 million in 2023, then decreased by 1.12% to $131.3 million in 2024, then increased by 28.35% to $168.6 million in 2025.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $168.6 million in Q3 2025, $142.0 million in Q2 2025, and $163.6 million in Q1 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 |
|---|---|
| Sep 30, 2025 | 168.55 Mn |
| Jun 30, 2025 | 142.04 Mn |
| Mar 31, 2025 | 163.64 Mn |
| Dec 31, 2024 | 131.32 Mn |
| Sep 30, 2024 | 134.75 Mn |
| Jun 30, 2024 | 117.76 Mn |
| Mar 31, 2024 | 144.94 Mn |
| Dec 31, 2023 | 132.81 Mn |
| Sep 30, 2023 | 143.89 Mn |
| Jun 30, 2023 | 171.87 Mn |
| Mar 31, 2023 | 152.86 Mn |
| Dec 31, 2022 | 137.95 Mn |
| Sep 30, 2022 | 150.80 Mn |
| Jun 30, 2022 | 132.69 Mn |
| Mar 31, 2022 | 146.28 Mn |
| Dec 31, 2021 | 119.62 Mn |
| Sep 30, 2021 | 106.41 Mn |
| Jun 30, 2021 | 106.19 Mn |
| Mar 31, 2021 | 97.29 Mn |
| Dec 31, 2020 | 87.76 Mn |
API Access
Yelp Accumulated 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=accumulated-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();