Lyft (LYFT) Long-Term Debt Repayments (2020 - 2026)
Lyft (LYFT) posted Long-Term Debt Repayments of $24.03 million for Q2 2026, down 93.6% from $374.23 million a year earlier but up 20.2% from the prior quarter.
Powered by 
Analysis
Lyft (LYFT) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Lyft was $44.01 million, down 88.7% year-over-year; for FY2025, it was $390.72 million, up 11.6% from FY2024.
- Annual Long-Term Debt Repayments has increased for four consecutive years, with a five-year compound annual growth rate of 50.5% (FY2020 to FY2025).
- In prior years, Lyft's Long-Term Debt Repayments was $350 million in FY2024 (+382.9%), $72.48 million in FY2023 (+7.2%), $67.64 million in FY2022 (+52.2%) and $44.45 million in FY2021 (-12.2%).
- Quarterly Long-Term Debt Repayments has run from a low of $10.46 million in Q4 2021 to a high of $374.23 million in Q2 2025 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2023, with growth of 89.4%; the weakest was Q1 2025, with a decline of 95.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.09 Bn | 3,899.62 Bn | 73.85 Bn | 3.78 Bn |
| 2 | Meta Platforms | 1,754.39 Bn | 1,456.91 Bn | 49.47 Bn | 962.00 Mn |
| 3 | Netflix | 291.47 Bn | 251.67 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.29 Bn | 66.07 Bn | 15.11 Bn | - |
| 5 | Shopify | 224.97 Bn | 202.15 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.88 Bn | 111.68 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 125.36 Bn | 58.41 Bn | - | 1.00 Bn |
| 8 | PDD Holdings | 113.80 Bn | -129.98 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.58 Bn | 66.08 Bn | 1.86 Bn | - |
| 10 | Lyft | 6.58 Bn | -766.31 Mn | 917.12 Mn | 35.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.69 Mn |
| Mar 31, 2026 | 31.47 Mn |
| Dec 31, 2025 | 25.04 Mn |
| Sep 30, 2025 | 24.55 Mn |
| Jun 30, 2025 | 417.43 Mn |
| Mar 31, 2025 | 27.40 Mn |
| Dec 31, 2024 | 33.61 Mn |
| Sep 30, 2024 | 32.60 Mn |
| Jun 30, 2024 | 32.56 Mn |
| Mar 31, 2024 | 382.05 Mn |
| Dec 31, 2023 | 19.50 Mn |
| Sep 30, 2023 | 23.15 Mn |
| Jun 30, 2023 | 46.43 Mn |
| Mar 31, 2023 | 26.88 Mn |
| Dec 31, 2022 | 28.76 Mn |
| Sep 30, 2022 | 31.26 Mn |
| Jun 30, 2022 | 22.11 Mn |
| Mar 31, 2022 | 20.30 Mn |
| Dec 31, 2021 | 17.35 Mn |
| Sep 30, 2021 | 24.00 Mn |
API Access
Lyft Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();