Yelp (YELP) Exchange Rate Effect (2011 - 2026)
Yelp's (YELP) quarterly Exchange Rate Effect came in at $118000.0 in Q2 2026, down 94.1% year-over-year from $2.0 million in Q2 2025, and up 144.19% quarter-over-quarter from -$267000.0 in Q1 2026.
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Analysis
Yelp (YELP) Exchange Rate Effect (2011 - 2026) Analysis & Trends
Yelp has disclosed Exchange Rate Effect across 15 years of filings, most recently posting $118000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 94.1% year-over-year to $118000.0; the TTM figure through Jun 2026 stood at -$521000.0 (down 127.73% YoY), while the FY2025 annual figure was $2.3 million, up 313.59% from the prior year.
- Exchange Rate Effect came in at $118000.0 for Q2 2026 at Yelp, up from -$267000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $2.0 million in Q2 2025 to a low of -$1.9 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is $54055.6, with a median of $154000.0 recorded in 2024.
- Year-over-year, Exchange Rate Effect sank 916.28% in 2022 and surged 952.11% in 2025.
- Over 5 years, Exchange Rate Effect stood at $894000.0 in 2022, then rose by 27.85% to $1.1 million in 2023, then slumped by 244.09% to -$1.6 million in 2024, then jumped by 115.97% to $263000.0 in 2025, then sank by 55.13% to $118000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $118000.0 in Q2 2026, -$267000.0 in Q1 2026, and $263000.0 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | -7.00 Mn |
| 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 | 122,000.00 | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | -3.67 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 | 118,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118,000.00 |
| Mar 31, 2026 | -267,000.00 |
| Dec 31, 2025 | 263,000.00 |
| Sep 30, 2025 | -635,000.00 |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 652,000.00 |
| Dec 31, 2024 | -1.65 Mn |
| Sep 30, 2024 | 875,000.00 |
| Jun 30, 2024 | 190,000.00 |
| Mar 31, 2024 | -485,000.00 |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | -272,000.00 |
| Jun 30, 2023 | 736,000.00 |
| Mar 31, 2023 | 439,000.00 |
| Dec 31, 2022 | 894,000.00 |
| Sep 30, 2022 | -1.88 Mn |
| Jun 30, 2022 | -1.05 Mn |
| Mar 31, 2022 | -101,000.00 |
| Dec 31, 2021 | -278,000.00 |
| Sep 30, 2021 | -334,000.00 |
API Access
Yelp Exchange Rate Effect 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=exchange-rate-effect&ticker=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();