VanEck Merk Gold ETF (OUNZ) Accumulated Expenses (2015 - 2023)
VanEck Merk Gold ETF (OUNZ) recorded Accumulated Expenses of $15.00 in fiscal Q1 2024 (quarter ended Apr 30, 2023), up 275.0% from $4.00 a year earlier and up 66.7% from the prior quarter.
VanEck Merk Gold ETF (OUNZ) Accumulated Expenses (2015 - 2023) Analysis & Trends
At the end of FY2023 (ended Jan 31, 2023), VanEck Merk Gold ETF reported Accumulated Expenses of $9.00, up 50.0% from FY2022.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -5.6% (FY2018 to FY2023).
- Across earlier fiscal years, Accumulated Expenses came in at $6.00 in FY2022 (-45.5%), $11.00 in FY2021 (+22.2%), $9.00 in FY2020 (+350.0%) and $2.00 in FY2019 (-83.3%).
- On a year-over-year basis, Accumulated Expenses rose in five of the last six quarters, with growth averaging 221.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 900.0% in fiscal Q2 2022, against a decline of 85.7% in fiscal Q2 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.00 (Q4 2023), $12.00 (Q3 2023) and $15.00 (Q2 2023).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2023 | 15.00 |
| Jan 31, 2023 | 9.00 |
| Oct 31, 2022 | 12.00 |
| Jul 31, 2022 | 15.00 |
| Apr 30, 2022 | 4.00 |
| Jan 31, 2022 | 6.00 |
| Jul 31, 2021 | 10.00 |
| Apr 30, 2021 | 2.00 |
| Jan 31, 2021 | 11.00 |
| Jul 31, 2020 | 1.00 |
| Apr 30, 2020 | 2.00 |
| Jan 31, 2020 | 9.00 |
| Oct 31, 2019 | 10.00 |
| Jul 31, 2019 | 7.00 |
| Apr 30, 2019 | 5.00 |
| Jan 31, 2019 | 2.00 |
| Oct 31, 2018 | 3.00 |
| Jul 31, 2018 | 7.00 |
| Jan 31, 2018 | 12.00 |
| Oct 31, 2016 | 6.00 |
VanEck Merk Gold ETF Accumulated Expenses 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=accumulated-expenses&ticker=OUNZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "OUNZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=OUNZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();