Fermi (FRMI) Price to Book (2025 - 2026)
Fermi's (FRMI) quarterly Price to Book came in at 5.67 in Q2 2026, up 65.17% quarter-over-quarter from 3.43 in Q1 2026.
Analysis
Fermi (FRMI) Price to Book (2025 - 2026) Analysis & Trends
Fermi has disclosed Price to Book across 2 years of filings, most recently posting 5.67 for Q2 2026.
- In Q2 2026, Price to Book changed N/A year-over-year to 5.67; the TTM figure through Jun 2026 stood at 5.67 (changed N/A YoY), while the FY2025 annual figure was 3.42, changed N/A from the prior year.
- Price to Book came in at 5.67 for Q2 2026 at Fermi, up from 3.43 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 5.67 in Q2 2026 to a low of 3.42 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Digital Realty Trust | 68.96 Bn | 68.66 Bn | - |
| 2 | Fermi | 3.23 Bn | 3.17 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.67 |
| Mar 31, 2026 | 3.43 |
| Dec 31, 2025 | 3.42 |
API Access
Fermi Price to Book 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=price-to-book&ticker=FRMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FRMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=FRMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();