SPHD Dividend Calculator

Live data$49.534.81% fwd yield1.5% 5-yr SPGclose 2026-05-14 · Polygon.io

Dividend growth rate (CAGR)

1Y: 17.27%2Y: 5Y: 10Y: All: 17.27%
YearYieldDiv / shareAnnual incomeYield on costCumulative incomePortfolio valueShares
14.7%$2.38$481.003.9%$481.00$13,052259.63
25.0%$2.55$661.844.5%$1,143$16,333320.08
35.3%$2.73$873.065.1%$2,016$19,875383.75
45.6%$2.92$1,1205.7%$3,136$23,720451.21
55.9%$3.12$1,4096.4%$4,545$27,913523.12
66.2%$3.34$1,7487.2%$6,293$32,510600.28
76.5%$3.58$2,1468.0%$8,439$37,578683.60
86.9%$3.83$2,6159.0%$11,054$43,194774.16
97.2%$4.09$3,16910.0%$14,223$49,453873.22
107.6%$4.38$3,82511.2%$18,048$56,465982.32

Year 1-10 dividend income (preview)

Based on a $10,000 initial investment with $200.00 monthly contributions, DRIP on.

Historical dividends per share

Recent dividends

Ex-dateCash amountTTM yieldFwd yieldShare price
2026-04-20$0.214.7%5.0%$49.87
2026-03-23$0.214.7%5.1%$48.87
2026-02-23$0.214.2%4.8%$52.25
2026-01-20$0.204.4%5.0%$48.96
2025-12-22$0.214.3%5.1%$47.99
2025-11-24$0.193.9%4.9%$47.83
2025-10-20$0.184.0%4.5%$48.73
2025-09-22$0.183.9%4.4%$48.65
2025-08-18$0.163.8%4.0%$48.29
2025-07-21$0.163.8%3.9%$48.22
2025-06-23$0.153.8%3.8%$47.38
2025-05-19$0.153.7%3.6%$48.14

Source: Polygon.io. Last 12 dividend distributions, most recent first. TTM yield = sum of last 12 months of payments ÷ share price on ex-date. Forward yield = this payment × detected payout frequency ÷ share price on ex-date.

About SPHD

SPHD — the Invesco S&P 500 High Dividend Low Volatility ETF — is a passive dividend-equity fund issued by Invesco that tracks the S&P 500 Low Volatility High Dividend Index. Launched in 2012, the fund holds an equal-weighted basket of fifty S&P 500 stocks selected through a two-stage screen: first, rank the S&P 500 by trailing-twelve-month dividend yield and take the top seventy-five highest-yielding names; then re-rank those seventy-five by realized one-year price volatility and take the fifty with the lowest measured volatility. The result is a portfolio that is concentrated in the high-yield slice of the S&P 500 but filtered to exclude the most volatile names within that slice — a deliberate structural choice that positions SPHD differently from yield-only baskets and from broader dividend ETFs.

SPHD's two-stage yield-then-volatility selection methodology produces a portfolio that tilts toward sectors where mature, lower-volatility dividend payers cluster — utilities, REITs, consumer staples, healthcare, and selected financials and telecoms. The equal-weighting at fifty names means single-stock concentration is capped at roughly two percent of the basket at each rebalance, which limits individual-name risk relative to a cap-weighted construction. The index rebalances semi-annually, so the constituent set rotates as yield and volatility profiles shift across the S&P 500 universe. The forward yield on SPHD tends to run at or near the high end of the broad US dividend-ETF range — typically above SCHD, VYM, and HDV — because the top-seventy-five-by-yield filter restricts the pre-volatility universe to the highest-yielding S&P 500 names before the low-volatility re-ranking is applied.

SPHD versus SPYD is the most informative comparison within the S&P 500 high-yield ETF subset. Both funds restrict their universe to the S&P 500 first and then take a high-yield subset — but the construction methodologies diverge from there. SPYD takes the top eighty highest-yielding S&P 500 names and equal-weights them, with no further filter — pure yield ranking, equal weight, rebalanced semi-annually. SPHD takes the top seventy-five by yield and then re-ranks those by realized volatility, taking only the fifty lowest-volatility names — yield ranking followed by a volatility filter, equal-weighted, rebalanced semi-annually. The practical effect is that SPYD's basket includes higher-volatility high-yield names (regional banks, energy producers, more-volatile REITs) that SPHD's volatility filter excludes; SPHD's basket is more concentrated in utilities, mature consumer staples, and lower-volatility REITs and consumer-discretionary names than SPYD's. The yield level on SPHD tends to run modestly below SPYD's because the volatility filter excludes some of the highest-yielding-but-most-volatile names; the realized drawdown in stress windows tends to be smaller for SPHD than for SPYD precisely because of the low-volatility screen. Investors choosing between the two are choosing between a pure-yield concentrated basket (SPYD) and a yield-plus-low-volatility filtered basket (SPHD) within the same underlying S&P 500 universe.

How SPHD pays dividends

SPHD distributes cash dividends monthly — the only major dividend-ETF in the broad S&P 500 high-yield category that does, since SPYD, SCHD, VYM, HDV, and DVY all distribute quarterly. The ex-dividend date typically falls in the third week of each calendar month, with the pay date following a few business days later. The per-share cash amount is the aggregate dividend collected from the equal-weighted basket of fifty holdings during the month, smoothed across the year by the fund's monthly distribution cadence and net of the fund's expense ratio. Because individual constituents in the basket pay quarterly on different schedules, the fund effectively aggregates dividends received across the constituent payment dates and smooths them into a monthly distribution stream — month-to-month amounts can vary modestly depending on which constituents have paid within the prior cycle.

SPHD's distributions are composed predominantly of qualified dividends — income from underlying US large-cap companies that meets the IRS holding-period requirements. For shareholders who also meet the qualified-dividend holding requirement (generally sixty-one days around the ex-date), these distributions are taxed at long-term capital-gains rates rather than ordinary-income rates. This is a meaningful tax advantage for taxable accounts at high marginal brackets, where the spread between qualified-dividend rates and ordinary-income rates is largest. A portion of distributions from REIT constituents in the basket pass through as non-qualified ordinary income (REIT distributions are not eligible for qualified-dividend treatment regardless of holding period), and the year-end 1099-DIV reports the exact split. Tax-advantaged accounts (IRA, Roth IRA, 401(k)) shelter the income entirely and the qualified-versus-ordinary distinction is irrelevant inside the wrapper.

The expense ratio on SPHD is moderate among dividend ETFs — slightly above the lowest-cost passive dividend funds (SCHD, VYM, HDV, SPYD) but consistent with rules-based factor-tilted dividend products. The fund navigated the 2020 COVID demand shock with smaller distribution disruption than SPYD experienced — the low-volatility filter excluded most of the energy producers and the more-cyclical financial and REIT names that drove SPYD's 2020 distribution cuts, so SPHD's per-share distribution declined less and recovered faster. The annual distribution has grown across most rolling windows since the fund's 2012 inception, though the growth pattern tracks the underlying utility-heavy, consumer-staples-heavy basket's dividend trajectory rather than a fast single-digit-DGR pattern; mature utilities and staples typically hike at modest mid-single-digit rates, which sets a structural ceiling on SPHD's aggregate growth pace.

Who SPHD suits

SPHD suits investors who want concentrated exposure to the high-yield, low-volatility slice of the S&P 500, prefer monthly cash flow over quarterly, and value the explicit volatility filter that the index applies on top of the yield ranking. The two-stage construction makes SPHD structurally distinct from yield-only or quality-only baskets — it is the canonical "high-yield with downside-volatility moderation" vehicle in the US ETF lineup, and the methodology has produced lower realized drawdowns in stress windows than yield-only baskets (SPYD) have shown. The monthly cadence is a real cash-flow advantage for income-focused holders who want twelve distributions per year rather than four, and the equal-weighting at fifty names produces less single-name concentration than cap-weighted constructions in the same category.

The SPHD-versus-SPYD comparison is the central decision for investors specifically targeting the S&P 500 high-yield subset. SPHD's basket is more concentrated in utilities, mature consumer staples, and lower-volatility REITs; SPYD's basket includes more cyclical financials, energy producers, and higher-volatility REITs. SPHD's yield level runs modestly below SPYD's; SPHD's historical drawdown in stress windows runs smaller. SPHD pays monthly; SPYD pays quarterly. Investors who weight monthly cash flow and lower drawdown volatility should weight SPHD more; investors who weight headline yield level should weight SPYD more.

SPHD is held in both taxable and tax-advantaged accounts. In taxable accounts the qualified-dividend treatment on the corporate-stock portion is a real after-tax advantage relative to option-income ETFs (JEPI, JEPQ, MSTY) whose distributions are largely ordinary income or return of capital, though the REIT-constituent portion of SPHD's distributions remains ordinary income regardless of account type. In tax-advantaged accounts the wrapper renders distribution-character differences irrelevant. The dividend calculator on this page can model SPHD using the current forward yield and a modest annual DGR consistent with the fund's historical pattern; users planning around a long horizon should also run the same scenario with a flatter or slightly negative DGR to bracket the realistic range, recognizing that the utility-and-staples-heavy basket sets a modest structural growth ceiling that SPHD has historically operated within.

Hypothetical scenarios

Scenario 1: $50,000 plus $500/month into SPHD over 20 years

Consider a hypothetical accumulation strategy: $50,000 starting capital plus $500 added every month, all in SPHD, with monthly DRIP enabled. The calculator on this page can model this directly — set Initial investment to $50,000, Extra contribution to $500, Contribution frequency to Monthly, time horizon to 20 years, DRIP on. SPHD's dividend frequency is locked to monthly on this page, so twelve annual distributions reinvest into additional shares, and the monthly contributions add to share count at the current price each month.

The mechanics: each month the new $500 buys additional shares and the distribution received from the accumulated shares is reinvested into still more shares, and the share count compounds across both pathways simultaneously. The monthly cadence is a structural advantage relative to quarterly-paying dividend ETFs at the same yield: twelve compounding events per year produce slightly faster share-count growth than four compounding events per year do, with the magnitude of the advantage proportional to the yield level. At SPHD's forward yield in the high-single-digit-percentage-of-NAV range adjusted for the actual distribution rate, the monthly-versus-quarterly cadence difference accumulates into a modestly higher cumulative share count over a twenty-year horizon than an otherwise-identical quarterly fund would produce — small per year, meaningful over decades.

The output worth focusing on is the per-month income figure shown beneath the KPI block — that's roughly what a holder would expect to see deposit into a brokerage account at the end of the horizon under the chosen assumptions. A modest single-digit annual DGR is a defensible base-case assumption for SPHD, recognizing that the utility-and-staples-heavy basket has historically hiked at modest mid-single-digit rates rather than the high-single-digit rates SCHD's quality-screened basket has shown. Investors who want a conservative projection should run the same scenario with a flat or slightly negative DGR to model the impact of one sector-cut window over the projection horizon; the low-volatility filter has historically dampened drawdowns relative to yield-only baskets, but it has not eliminated them entirely.

Scenario 2: SPHD versus SPYD — the volatility-filter trade-off

Consider the structural comparison between SPHD and SPYD at the same starting capital and contribution pattern: $50,000 plus $500/month over twenty years with DRIP enabled on both. Both funds restrict their universe to the S&P 500 and take a high-yield subset, but the construction differs in one important way: SPYD takes the top eighty by yield and equal-weights with no further filter; SPHD takes the top seventy-five by yield and re-ranks those by realized volatility, taking only the fifty lowest-volatility names. The two funds also differ in distribution cadence — SPHD monthly, SPYD quarterly — which marginally favors SPHD on share-count compounding at the same dollar input.

SPYD's pure-yield basket includes higher-volatility high-yield names (regional banks, energy producers, more-volatile REITs) that SPHD's volatility filter excludes. The headline yield on SPYD tends to run modestly above SPHD's because those higher-yielding-but-more-volatile names contribute more income per dollar invested; the realized drawdown in stress windows tends to be larger for SPYD than for SPHD precisely because those same names are more sensitive to cyclical earnings pressure. The 2020 COVID demand shock was the clearest data point: SPYD experienced a meaningful distribution cut as several constituent REITs, energy names, and banks reduced payouts; SPHD's distribution declined materially less because the low-volatility filter had already excluded most of the names that drove SPYD's cuts.

The calculator output at the same starting capital, the same monthly contribution, and the same horizon — applied separately to SPYD at its higher starting yield and to SPHD at its modestly lower yield — produces two income lines that diverge based on which factor dominates: the higher starting yield of SPYD (favors a higher cumulative cash collected) or the smaller stress-window drawdown of SPHD (favors a more stable income trajectory through any included stress windows). In a smooth no-stress forward window, SPYD's higher yield wins on cumulative cash; in a forward window that includes one or two stress episodes comparable to 2020, SPHD's lower drawdown narrows or reverses the gap. The realized outcome depends on whether the holding window includes cyclical-cut episodes and on the severity of those episodes.

The honest reading is that SPHD and SPYD make two different bets on the same underlying universe (high-yield S&P 500). SPHD bets that the volatility filter improves risk-adjusted outcome at the cost of some yield level; SPYD bets that the pure-yield basket maximizes cumulative cash collected over horizons that don't include severe stress windows. Investors who weight downside protection and monthly cadence should weight SPHD more; investors who weight headline yield and accept the higher drawdown risk should weight SPYD more. The constituent overlap between the two is partial — the lower-volatility high-yielders appear in both, the higher-volatility names appear only in SPYD — so holding one is generally adequate rather than holding both. As always, this content is educational only; the calculator output is a model based on user-supplied inputs, not a forecast of realized future outcomes.

Sources & methodology

Dividend history and price data come from Polygon.io's reference and aggregates endpoints. Forward yield is computed as the sum of the most recent four cash distributions divided by the previous-close share price. The dividend growth rate shown on this page is the compound annual growth rate of total annual distributions across the available history in this snapshot.

Last updated: 2026-05-15.

Information here is for educational purposes only and does not constitute investment advice. Past dividend history does not guarantee future payments. Verify all figures with the issuer or a registered financial advisor before making investment decisions.