Realloys (ALOY) Price to Book (2016 - 2026)
Realloys' (ALOY) Price to Book stood at 5.21 in Q2 2026, down 11.4% from the prior quarter.
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Analysis
Realloys (ALOY) Price to Book (2016 - 2026) Analysis & Trends
For FY2025, Realloys' Price to Book came in at 0.86.
- Across earlier years, Price to Book came in at 1.25 in FY2023 (-82.9%), 7.27 in FY2022 (-58.8%) and 17.62 in FY2021.
- Quarterly Price to Book has ranged from 0.86 in Q4 2025 to 24.21 in Q1 2022 over the past five years.
- Peak year-over-year performance for Price to Book in the last five years was growth of 248.8% in Q3 2025, against a decline of 87.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.88 (Q1 2026), 0.86 (Q4 2025) and 4.90 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Realloys | 558.51 Mn | 558.51 Mn | 475,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.21 |
| Mar 31, 2026 | 5.88 |
| Dec 31, 2025 | 0.86 |
| Sep 30, 2025 | 4.90 |
| Sep 30, 2024 | 1.41 |
| Jun 30, 2024 | 1.50 |
| Mar 31, 2024 | 1.24 |
| Dec 31, 2023 | 1.25 |
| Sep 30, 2023 | 1.12 |
| Jun 30, 2023 | 1.14 |
| Mar 31, 2023 | 9.96 |
| Dec 31, 2022 | 7.27 |
| Sep 30, 2022 | 3.00 |
| Jun 30, 2022 | 4.28 |
| Mar 31, 2022 | 24.21 |
| Dec 31, 2021 | 17.62 |
| Sep 30, 2017 | 5,433.75 |
| Jun 30, 2017 | 2,599.05 |
| Mar 31, 2017 | 1,342.94 |
| Dec 31, 2016 | 1,024.30 |
API Access
Realloys 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=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ALOY", "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=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();