Yelp (YELP) Total Non-Current Liabilities (2016 - 2026)
Yelp's Total Non-Current Liabilities was $283.8 million in Q2 2026, up 60.8% from $176.48 million a year earlier but down 11.7% from the prior quarter.
Yelp (YELP) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Yelp came in at $189.51 million, up 6.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $177.44 million in FY2024 (-20.8%), $223.93 million in FY2023 (-16.9%), $269.49 million in FY2022 (-7.7%) and $291.99 million in FY2021 (unchanged).
- Quarterly Total Non-Current Liabilities has moved between $176.48 million (Q2 2025) and $321.58 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for four straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 60.8%); the worst was Q2 2024 (a decline of 32.7%).
- Per Business Quant data, YELP's Total Non-Current Liabilities in the three quarters before Q2 2026 was $321.58 million (Q1 2026), $189.51 million (Q4 2025) and $203.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | 6.10 Bn |
| 10 | Yelp | 1.10 Bn | 240.90 Mn | 333.74 Mn | 283.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.80 Mn |
| Mar 31, 2026 | 321.58 Mn |
| Dec 31, 2025 | 189.51 Mn |
| Sep 30, 2025 | 203.07 Mn |
| Jun 30, 2025 | 176.48 Mn |
| Mar 31, 2025 | 202.80 Mn |
| Dec 31, 2024 | 177.44 Mn |
| Sep 30, 2024 | 196.27 Mn |
| Jun 30, 2024 | 190.61 Mn |
| Mar 31, 2024 | 229.30 Mn |
| Dec 31, 2023 | 223.93 Mn |
| Sep 30, 2023 | 247.21 Mn |
| Jun 30, 2023 | 283.31 Mn |
| Mar 31, 2023 | 276.48 Mn |
| Dec 31, 2022 | 269.49 Mn |
| Sep 30, 2022 | 294.52 Mn |
| Jun 30, 2022 | 285.82 Mn |
| Mar 31, 2022 | 313.03 Mn |
| Dec 31, 2021 | 291.99 Mn |
| Sep 30, 2021 | 288.96 Mn |
Yelp Total Non-Current 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-non-current-liabilities&ticker=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();