Yelp (YELP) Tax Provisions (2011 - 2026)
Yelp's (YELP) quarterly Tax Provisions came in at $12.8 million in Q2 2026, down 14.0% year-over-year from $14.9 million in Q2 2025, and up 5.45% quarter-over-quarter from $12.1 million in Q1 2026.
Yelp (YELP) Tax Provisions (2011 - 2026) Analysis & Trends
Yelp has disclosed Tax Provisions across 16 years of filings, most recently posting $12.8 million for Q2 2026.
- In Q2 2026, Tax Provisions fell 14.0% year-over-year to $12.8 million; the TTM figure through Jun 2026 stood at $57.7 million (down 2.26% YoY), while the FY2025 annual figure was $58.4 million, up 16.6% from the prior year.
- Tax Provisions came in at $12.8 million for Q2 2026 at Yelp, up from $12.1 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $18.9 million in Q3 2025 to a low of -$10.2 million in Q3 2023.
- Average Tax Provisions over 5 years is $9.4 million, with a median of $11.4 million recorded in 2024.
- Year-over-year, Tax Provisions slumped 245.41% in 2023 and surged 2500.0% in 2024.
- Over 5 years, Tax Provisions stood at $16.7 million in 2022, then plunged by 61.66% to $6.4 million in 2023, then soared by 177.89% to $17.8 million in 2024, then retreated by 22.62% to $13.8 million in 2025, then dropped by 7.05% to $12.8 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $12.8 million in Q2 2026, $12.1 million in Q1 2026, and $13.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 2.91 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 3.99 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | -4.76 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | -2.49 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 44.10 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | 2.50 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | 184,149.00 |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | -9.85 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn | 12.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.81 Mn |
| Mar 31, 2026 | 12.15 Mn |
| Dec 31, 2025 | 13.78 Mn |
| Sep 30, 2025 | 18.91 Mn |
| Jun 30, 2025 | 14.90 Mn |
| Mar 31, 2025 | 10.84 Mn |
| Dec 31, 2024 | 17.81 Mn |
| Sep 30, 2024 | 15.44 Mn |
| Jun 30, 2024 | 12.03 Mn |
| Mar 31, 2024 | 4.80 Mn |
| Dec 31, 2023 | 6.41 Mn |
| Sep 30, 2023 | -10.19 Mn |
| Jun 30, 2023 | 9.91 Mn |
| Mar 31, 2023 | -200,000.00 |
| Dec 31, 2022 | 16.72 Mn |
| Sep 30, 2022 | 7.01 Mn |
| Jun 30, 2022 | 9.32 Mn |
| Mar 31, 2022 | -2.61 Mn |
| Dec 31, 2021 | -2.95 Mn |
| Sep 30, 2021 | 3.91 Mn |
Yelp Tax Provisions 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=tax-provisions&ticker=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();