Yelp (YELP) Operating Leases (2019 - 2026)
Yelp's (YELP) quarterly Operating Leases came in at $23.3 million in Q2 2026, down 23.79% year-over-year from $30.6 million in Q2 2025, and down 6.5% quarter-over-quarter from $24.9 million in Q1 2026.
Yelp (YELP) Operating Leases (2019 - 2026) Analysis & Trends
Yelp has disclosed Operating Leases across 8 years of filings, most recently posting $23.3 million for Q2 2026.
- In Q2 2026, Operating Leases fell 23.79% year-over-year to $23.3 million; the TTM figure through Jun 2026 stood at $23.3 million (down 23.79% YoY), while the FY2025 annual figure was $17.5 million, down 22.34% from the prior year.
- Operating Leases came in at $23.3 million for Q2 2026 at Yelp, down from $24.9 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $158.5 million in Q1 2022 to a low of $17.5 million in Q4 2025.
- Average Operating Leases over 5 years is $70.7 million, with a median of $60.8 million recorded in 2024.
- Year-over-year, Operating Leases declined 19.37% in 2022 and slumped 56.69% in 2025.
- Over 5 years, Operating Leases stood at $86.7 million in 2022, then plunged by 44.54% to $48.1 million in 2023, then sank by 53.25% to $22.5 million in 2024, then declined by 22.34% to $17.5 million in 2025, then soared by 33.53% to $23.3 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $23.3 million in Q2 2026, $24.9 million in Q1 2026, and $17.5 million in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.30 Mn |
| Mar 31, 2026 | 24.92 Mn |
| Dec 31, 2025 | 17.45 Mn |
| Sep 30, 2025 | 27.40 Mn |
| Jun 30, 2025 | 30.58 Mn |
| Mar 31, 2025 | 33.51 Mn |
| Dec 31, 2024 | 22.47 Mn |
| Sep 30, 2024 | 53.93 Mn |
| Jun 30, 2024 | 67.62 Mn |
| Mar 31, 2024 | 77.37 Mn |
| Dec 31, 2023 | 48.07 Mn |
| Sep 30, 2023 | 96.26 Mn |
| Jun 30, 2023 | 106.02 Mn |
| Mar 31, 2023 | 116.21 Mn |
| Dec 31, 2022 | 86.66 Mn |
| Sep 30, 2022 | 135.32 Mn |
| Jun 30, 2022 | 146.99 Mn |
| Mar 31, 2022 | 158.53 Mn |
| Dec 31, 2021 | 127.98 Mn |
| Sep 30, 2021 | 178.06 Mn |
Yelp Operating Leases 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-leases&ticker=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();