2026 price return, distributions and total return: miners, wrapper and bullion
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-04, from Gold Miner Covered Call ETFs: Yield vs Upside.
| symbol | price_return_pct | distributions_pct | total_return_pct | priced_window |
|---|---|---|---|---|
| GDX | 2.4 | 0 | 2.4 | Jan 2 to Oct 2, 2026 |
| GDXJ | 0.4 | 0 | 0.4 | Jan 2 to Oct 2, 2026 |
| GDXY | -37 | 34.9 | -2 | Jan 2 to Oct 2, 2026 |
| GLD | -4.6 | 0 | -4.6 | Jan 2 to Oct 2, 2026 |
- Rows × columns
- 4 × 5
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
symbol |
text | 4 distinct values (GDX, GDXJ, GDXY…) | |
price_return_pct |
number | -37 to 2.4 | percent |
distributions_pct |
number | 0 to 34.9 | percent |
total_return_pct |
number | -4.6 to 2.4 | percent |
priced_window |
text | 1 distinct value (Jan 2 to Oct 2, 2026) |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
price_window AS
(
SELECT
ticker,
argMin(toFloat64(close), date) AS first_close,
argMax(toFloat64(close), date) AS last_close,
min(date) AS from_date,
max(date) AS through_date
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('GDX', 'GDXJ', 'GDXY', 'GLD')
AND date >= '2026-01-02'
GROUP BY ticker
),
cash AS
(
SELECT
ticker,
sum(amount) AS cash_paid
FROM
(
SELECT
ticker,
id,
max(toFloat64(cash_amount)) AS amount
FROM global_markets.stocks_dividends
WHERE ticker IN ('GDX', 'GDXJ', 'GDXY', 'GLD')
AND ex_dividend_date >= '2026-01-02'
AND ex_dividend_date <= today()
GROUP BY ticker, id
)
GROUP BY ticker
)
SELECT
p.ticker AS symbol,
round((p.last_close / p.first_close - 1) * 100, 1) AS price_return_pct,
round(ifNull(c.cash_paid, 0) / p.first_close * 100, 1) AS distributions_pct,
round(((p.last_close + ifNull(c.cash_paid, 0)) / p.first_close - 1) * 100, 1) AS total_return_pct,
concat(formatDateTime(p.from_date, '%b %e'), ' to ', formatDateTime(p.through_date, '%b %e, %Y')) AS priced_window
FROM price_window AS p
LEFT JOIN cash AS c ON c.ticker = p.ticker
ORDER BY symbol
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