Astera Labs (ALAB) EV to FCF (2024 - 2026)
Astera Labs' EV to FCF was 298.34 in Q2 2026, up 349.5% from 66.38 a year earlier and up 481.5% from the prior quarter.
Astera Labs (ALAB) EV to FCF (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Astera Labs' EV to FCF was 285.66 through Jun 30, 2026, up 434.8% year-over-year; for FY2025, it was 96.26, down 40.1% from FY2024.
- In earlier years, EV to FCF was 160.80 in FY2024.
- The Q2 2026 figure marks the highest quarterly EV to FCF in data going back to Q2 2024.
- Compared with a year earlier, EV to FCF was higher in two of the last five quarters, with growth averaging 55.4%.
- Per Business Quant data, ALAB's EV to FCF in the three quarters before Q2 2026 was 51.30 (Q1 2026), 96.26 (Q4 2025) and 139.19 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Astera Labs | 60.78 Bn | 56.02 Bn | 287.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.34 |
| Mar 31, 2026 | 51.30 |
| Dec 31, 2025 | 96.26 |
| Sep 30, 2025 | 139.19 |
| Jun 30, 2025 | 66.38 |
| Mar 31, 2025 | 82.42 |
| Dec 31, 2024 | 160.80 |
| Sep 30, 2024 | 81.04 |
| Jun 30, 2024 | 197.98 |
Astera Labs EV to FCF 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=ev-to-fcf&ticker=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "ALAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();