Astera Labs (ALAB) EV to CFO (2024 - 2026)
Astera Labs' (ALAB) EV to CFO came in at 245.88 for Q2 2026, up 338.6% from 56.06 a year earlier and up 436.0% from the prior quarter.
Astera Labs (ALAB) EV to CFO (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to CFO at Astera Labs was 235.43, up 421.8% year-over-year; for FY2025, it was 84.94, down 29.5% from FY2024.
- In prior years, Astera Labs' EV to CFO was 120.51 in FY2024.
- The Q2 2026 figure stands as the highest quarterly EV to CFO in data going back to Q2 2024.
- On a year-over-year basis, EV to CFO increased in two of the last five quarters, with growth averaging 59.1%.
- According to Business Quant data, EV to CFO for the three prior quarters was 45.87 (Q1 2026), 84.94 (Q4 2025) and 121.09 (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 | 245.88 |
| Mar 31, 2026 | 45.87 |
| Dec 31, 2025 | 84.94 |
| Sep 30, 2025 | 121.09 |
| Jun 30, 2025 | 56.06 |
| Mar 31, 2025 | 62.12 |
| Dec 31, 2024 | 120.51 |
| Sep 30, 2024 | 66.63 |
| Jun 30, 2024 | 181.95 |
Astera Labs EV to CFO 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-cfo&ticker=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();