Lyft (LYFT) Interest Expenses (2020 - 2026)
Lyft (LYFT) posted Interest Expenses of $5.47 million for Q2 2026, up 8.7% from $5.03 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Lyft (LYFT) Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Lyft was $20.27 million, down 19.6% year-over-year; for FY2025, it was $20.76 million, down 28.2% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- In prior years, Lyft's Interest Expenses was $28.92 million in FY2024 (+10.3%), $26.22 million in FY2023 (+32.9%), $19.74 million in FY2022 (-61.8%) and $51.64 million in FY2021 (+58.0%).
- The Q2 2026 figure stands as the highest quarterly Interest Expenses since Q1 2025.
- On a year-over-year basis, Interest Expenses increased in two of the last eight quarters, with an average decline of 15.1%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2023, with growth of 62.0%; the weakest was Q1 2022, with a decline of 63.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $5.23 million (Q1 2026), $4.83 million (Q4 2025) and $4.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | - |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 51.16 Mn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 5.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.47 Mn |
| Mar 31, 2026 | 5.23 Mn |
| Dec 31, 2025 | 4.83 Mn |
| Sep 30, 2025 | 4.74 Mn |
| Jun 30, 2025 | 5.03 Mn |
| Mar 31, 2025 | 6.15 Mn |
| Dec 31, 2024 | 6.66 Mn |
| Sep 30, 2024 | 7.36 Mn |
| Jun 30, 2024 | 7.85 Mn |
| Mar 31, 2024 | 7.05 Mn |
| Dec 31, 2023 | 8.43 Mn |
| Sep 30, 2023 | 6.21 Mn |
| Jun 30, 2023 | 6.15 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 5.20 Mn |
| Sep 30, 2022 | 5.02 Mn |
| Jun 30, 2022 | 4.96 Mn |
| Mar 31, 2022 | 4.55 Mn |
| Dec 31, 2021 | 13.13 Mn |
| Sep 30, 2021 | 13.09 Mn |
API Access
Lyft Interest Expenses 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=interest-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();