abrdn Gold ETF Trust (SGOL) Price to Earnings (2011 - 2026)
abrdn Gold ETF Trust's Price to Earnings came in at 5.48 for Q1 2026, up 44.6% from 3.79 a year earlier.
Analysis
abrdn Gold ETF Trust (SGOL) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024, abrdn Gold ETF Trust's Price to Earnings was 5.31, down 34.6% from FY2023.
- Going back by year, Price to Earnings was 8.12 in FY2023 and 7.35 in FY2020 (-5.8%).
- The Q1 2026 figure represents the highest quarterly Price to Earnings since Q2 2024.
- Year-over-year, Price to Earnings increased in 1 of the last six quarters, with an average decline of 37.9%.
- The fastest year-over-year change in Price to Earnings over five years came in Q1 2026 (growth of 44.6%), and the weakest in Q1 2022 (a decline of 93.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 182.41 Bn | 124.93 Bn | - |
| 2 | Spdr Gold Trust | 134.84 Bn | -423.17 Bn | - |
| 3 | Blackstone | 95.70 Bn | 85.68 Bn | - |
| 4 | Brookfield | 93.08 Bn | -90.24 Bn | - |
| 5 | Kkr | 86.27 Bn | 6.42 Bn | - |
| 6 | Brookfield Asset Management | 84.65 Bn | 79.46 Bn | - |
| 7 | Apollo Global Management | 70.38 Bn | -15.79 Bn | 4.14 Bn |
| 8 | Wheaton Precious Metals | 61.81 Bn | 57.24 Bn | 687.86 Mn |
| 9 | Franco Nevada | 49.09 Bn | 46.45 Bn | 451.00 Mn |
| 10 | abrdn Gold ETF Trust | 6.99 Bn | -14.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.48 |
| Jun 30, 2025 | 3.79 |
| Mar 31, 2025 | 3.79 |
| Dec 31, 2024 | 5.31 |
| Sep 30, 2024 | 3.65 |
| Jun 30, 2024 | 5.65 |
| Mar 31, 2024 | 9.76 |
| Dec 31, 2023 | 8.12 |
| Sep 30, 2023 | 10.26 |
| Jun 30, 2023 | 26.54 |
| Mar 31, 2023 | 151.06 |
| Jun 30, 2022 | 46.21 |
| Mar 31, 2022 | 8.34 |
| Mar 31, 2021 | 137.62 |
| Dec 31, 2020 | 7.35 |
| Sep 30, 2020 | 6.96 |
| Jun 30, 2020 | 5.83 |
| Mar 31, 2020 | 6.72 |
| Dec 31, 2019 | 7.80 |
| Sep 30, 2019 | 0.53 |
API Access
abrdn Gold ETF Trust Price to Earnings 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-earnings&ticker=SGOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SGOL", "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-earnings&ticker=SGOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();