Lyft (LYFT) Selling, General & Administrative (2018 - 2026)
Lyft's Selling, General & Administrative was $301.64 million in Q2 2026, up 29.8% from $232.34 million a year earlier and up 11.6% from the prior quarter.
Lyft (LYFT) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lyft's Selling, General & Administrative was $1.13 billion through Jun 30, 2026, up 25.7% year-over-year; for FY2025, it was $1 billion, up 6.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $937.35 million in FY2024 (+7.6%), $871.08 million in FY2023 (-32.3%), $1.29 billion in FY2022 (+40.5%) and $915.64 million in FY2021 (-3.2%).
- Quarterly Selling, General & Administrative has moved between $195.02 million (Q4 2024) and $510.64 million (Q4 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2022 (growth of 93.7%); the worst was Q4 2023 (a decline of 57.3%).
- Per Business Quant data, LYFT's Selling, General & Administrative in the three quarters before Q2 2026 was $270.24 million (Q1 2026), $303.93 million (Q4 2025) and $250.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 338.00 Mn |
| 10 | Lyft | 6.48 Bn | -865.18 Mn | 917.12 Mn | 301.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.64 Mn |
| Mar 31, 2026 | 270.24 Mn |
| Dec 31, 2025 | 303.93 Mn |
| Sep 30, 2025 | 250.57 Mn |
| Jun 30, 2025 | 232.34 Mn |
| Mar 31, 2025 | 215.30 Mn |
| Dec 31, 2024 | 195.02 Mn |
| Sep 30, 2024 | 253.44 Mn |
| Jun 30, 2024 | 252.64 Mn |
| Mar 31, 2024 | 236.25 Mn |
| Dec 31, 2023 | 217.85 Mn |
| Sep 30, 2023 | 195.29 Mn |
| Jun 30, 2023 | 201.40 Mn |
| Mar 31, 2023 | 256.54 Mn |
| Dec 31, 2022 | 510.64 Mn |
| Sep 30, 2022 | 292.87 Mn |
| Jun 30, 2022 | 265.73 Mn |
| Mar 31, 2022 | 216.94 Mn |
| Dec 31, 2021 | 263.62 Mn |
| Sep 30, 2021 | 231.91 Mn |
Lyft Selling, General & Administrative 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=selling-general-and-administrative&ticker=LYFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();