Lyft (LYFT) Total Non-Current Liabilities (2018 - 2026)
Lyft (LYFT) reported Total Non-Current Liabilities of $6.03 billion for Q2 2026, up 31.4% from $4.59 billion a year earlier and up 3.8% from the prior quarter.
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Analysis
Lyft (LYFT) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Lyft posted Total Non-Current Liabilities of $5.69 billion, up 23.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.6 billion in FY2024 (+16.9%), $3.94 billion in FY2023 (-4.3%), $4.11 billion in FY2022 (+21.6%) and $3.38 billion in FY2021 (+13.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2019.
- Year over year, Total Non-Current Liabilities has now increased in each of the last ten quarters, with growth averaging 18.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 31.4%); the low point was Q4 2023 (a decline of 4.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.81 billion (Q1 2026), $5.69 billion (Q4 2025) and $5.3 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 6.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.03 Bn |
| Mar 31, 2026 | 5.81 Bn |
| Dec 31, 2025 | 5.69 Bn |
| Sep 30, 2025 | 5.30 Bn |
| Jun 30, 2025 | 4.59 Bn |
| Mar 31, 2025 | 4.77 Bn |
| Dec 31, 2024 | 4.60 Bn |
| Sep 30, 2024 | 4.53 Bn |
| Jun 30, 2024 | 4.33 Bn |
| Mar 31, 2024 | 4.19 Bn |
| Dec 31, 2023 | 3.94 Bn |
| Sep 30, 2023 | 3.92 Bn |
| Jun 30, 2023 | 3.98 Bn |
| Mar 31, 2023 | 4.09 Bn |
| Dec 31, 2022 | 4.11 Bn |
| Sep 30, 2022 | 3.78 Bn |
| Jun 30, 2022 | 3.73 Bn |
| Mar 31, 2022 | 3.56 Bn |
| Dec 31, 2021 | 3.38 Bn |
| Sep 30, 2021 | 3.31 Bn |
API Access
Lyft 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=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();