Yelp (YELP) Total Liabilities (2011 - 2026)
Yelp (YELP) posted Total Liabilities of $346.04 million for Q2 2026, up 48.0% from $233.77 million a year earlier but down 9.5% from the prior quarter.
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Analysis
Yelp (YELP) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Yelp's Total Liabilities came in at $247.63 million, up 3.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Yelp's Total Liabilities was $239.6 million in FY2024 (-9.7%), $265.19 million in FY2023 (-13.2%), $305.6 million in FY2022 (+2.1%) and $299.21 million in FY2021 (-0.4%).
- Quarterly Total Liabilities has run from a low of $229.63 million in Q2 2024 to a high of $382.21 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 9.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 48.6%; the weakest was Q2 2024, with a decline of 29.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $382.21 million (Q1 2026), $247.63 million (Q4 2025) and $256.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Yelp | 1.12 Bn | 263.02 Mn | 333.74 Mn | 346.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 346.04 Mn |
| Mar 31, 2026 | 382.21 Mn |
| Dec 31, 2025 | 247.63 Mn |
| Sep 30, 2025 | 256.73 Mn |
| Jun 30, 2025 | 233.77 Mn |
| Mar 31, 2025 | 257.19 Mn |
| Dec 31, 2024 | 239.60 Mn |
| Sep 30, 2024 | 240.67 Mn |
| Jun 30, 2024 | 229.63 Mn |
| Mar 31, 2024 | 271.50 Mn |
| Dec 31, 2023 | 265.19 Mn |
| Sep 30, 2023 | 287.74 Mn |
| Jun 30, 2023 | 324.69 Mn |
| Mar 31, 2023 | 317.55 Mn |
| Dec 31, 2022 | 305.60 Mn |
| Sep 30, 2022 | 328.96 Mn |
| Jun 30, 2022 | 304.56 Mn |
| Mar 31, 2022 | 320.56 Mn |
| Dec 31, 2021 | 299.21 Mn |
| Sep 30, 2021 | 297.25 Mn |
API Access
Yelp Total Liabilities 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=total-liabilities&ticker=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();