Lyft (LYFT) Other Non-Current Liabilities (2018 - 2026)
Lyft's Other Non-Current Liabilities was $56.53 million in Q2 2026, up 11.8% from $50.57 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Lyft (LYFT) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Lyft came in at $68.4 million, down 1.3% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $69.27 million in FY2024 (-21.2%), $87.92 million in FY2023 (+58.0%), $55.64 million in FY2022 (+9.3%) and $50.91 million in FY2021 (+178.3%).
- Quarterly Other Non-Current Liabilities has moved between $45.87 million (Q1 2022) and $87.92 million (Q4 2023) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 12.3%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q1 2022 (growth of 267.9%); the worst was Q2 2025 (a decline of 42.0%).
- Per Business Quant data, LYFT's Other Non-Current Liabilities in the three quarters before Q2 2026 was $58.82 million (Q1 2026), $68.4 million (Q4 2025) and $72.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn |
| 10 | Lyft | 5.70 Bn | -1.64 Bn | 917.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.53 Mn |
| Mar 31, 2026 | 58.82 Mn |
| Dec 31, 2025 | 68.40 Mn |
| Sep 30, 2025 | 72.99 Mn |
| Jun 30, 2025 | 50.57 Mn |
| Mar 31, 2025 | 59.09 Mn |
| Dec 31, 2024 | 69.27 Mn |
| Sep 30, 2024 | 80.52 Mn |
| Jun 30, 2024 | 87.18 Mn |
| Mar 31, 2024 | 84.93 Mn |
| Dec 31, 2023 | 87.92 Mn |
| Sep 30, 2023 | 85.33 Mn |
| Jun 30, 2023 | 76.31 Mn |
| Mar 31, 2023 | 56.82 Mn |
| Dec 31, 2022 | 55.64 Mn |
| Sep 30, 2022 | 55.99 Mn |
| Jun 30, 2022 | 61.41 Mn |
| Mar 31, 2022 | 45.87 Mn |
| Dec 31, 2021 | 50.91 Mn |
| Sep 30, 2021 | 54.82 Mn |
API Access
Lyft Other 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=other-non-current-liabilities&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "LYFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();