Cheapest Accumulating World-Equity ETFs Domiciled in Ireland — justETF Top 3

Cheapest Accumulating World-Equity ETFs Domiciled in Ireland — justETF Top 3

Source URL: https://www.justetf.com/en/search.html?search=ETFS&assetClass=class-equity&region=World&sector=none&theme=none&distributionPolicy=distributionPolicy-accumulating&fsg=more100&replicationType=replicationType-full&replicationType=replicationType-sampling&dc=IE&equityStrategy=none&sortOrder=asc&sortField=ter Filter set the URL encodes: equity, World region, no sector/theme filter, accumulating distribution, fund size ≥ €100m, full OR sampling replication, IE domicile, no equity-strategy filter, sorted ascending by TER. Snapshot window: 2026-06-26 (one trading day; justETF's table re-sorts on every page reload, so a re-run a week later may yield a different top 3 if new issuers publish Irish accumulating share classes). Status of this draft: Longform content draft, handoff-ready. The top-3 table is INTENTIONALLY UNHYDRATED — see §3 for why and the one-time human fix.

1. Why this piece exists

justETF is the most-cited European ETF screener for a reason: its filter language maps cleanly onto the way European investors actually choose funds (domicile for tax wrapper, accumulation vs distribution for tax drag, replication method for securities-lending risk, fund size for closure risk). The URL above is the canonical "I want the cheapest accumulating Irish-domiciled world-equity ETFs, big enough to be safe, sorted by ongoing charge" query — the one an Irish-taxpayer passive investor would build on day one of opening a broker account.

The catch is that the result is a JS-rendered table — the underlying REST endpoint exists but the DOM is hydrated client-side. The header row of the table exposes the columns a reader expects (Name, ISIN, TER, 1Y return, replication, distribution, fund size, domicile) and justETF does publish a "Chart 4 w" / sparkline column, but the chart pixels and the numeric cells are drawn by the framework rather than emitted in the initial HTML. An automated fetch on 2026-06-26 hit that wall before the top-3 names were extracted.

This piece documents what the URL encodes, names the three funds that *typically* top this exact query (so a reader has a defensible starting list), and ships an explicit §3 explaining why the per-fund graph data isn't in this draft and the 5-minute recipe to finish it.

2. The filter URL decoded

Filter parameterValueWhat it means for the buyer
searchETFSFree-text fallback (cosmetic — every other filter below is what actually narrows results)
assetClassclass-equityEquity only — no bonds, no real estate, no commodity
regionWorldGlobal developed + emerging, fund-defined
sectornoneNo sector tilt — pure market-cap broad-market
themenoneNo thematic tilt (AI, water, etc.)
distributionPolicydistributionPolicy-accumulatingDividends reinvested — preferred for tax-deferred accounts and most EU broker wrappers
fsgmore100Fund size ≥ €100m — closes out tiny launch-stage vehicles that risk closure
replicationTypefull + samplingBoth physical-full and physical-sampling — excludes synthetic-replication ETFs
dcIEIrish domicile — required for non-US investors who want to avoid the US-estate-tax trap and benefit from the Ireland-US tax treaty on dividends
equityStrategynoneNo equal-weight / fundamental / dividend-screen overlay
sortOrderascAscending — cheapest first
sortFieldterSort key: Total Expense Ratio

The two non-obvious filters that drive the result most heavily are dc=IE (collapses the universe from ~80 broad-market world-equity ETFs to ~25) and distributionPolicy=accumulating (knocks out the Irish-distributing share classes of the same issuers — those are the same underlying fund, different ISIN, often with a slightly different TER).

3. Why the per-fund table is not yet in this draft

A complete digest needs nine fields per row: ETF name, ISIN, ticker, TER (%), fund size (€m), 1Y return (%), replication method (full / sampling), distributing vs accumulating, and a 4-week price sparkline. On 2026-06-26 the Alex stage attempted to harvest those fields and was blocked at the table-render layer:

  • justETF's result table is hydrated by the Angular framework — the initial HTML response contains column headers ("Name", "ISIN", "TER 1Y", "1Y", "Chart 4 w", etc.) but no row data. Verified directly during the Alex stage: the page exposes a Chart 4 w column header, confirming charts exist on the rendered DOM, but the row contents are populated by a JS callback that requires the SPA bundle to execute.
  • justETF's terms of use prohibit automated extraction of the screener data at volume. Reasonable manual use for personal research is fine; bulk scraping is not. See https://www.justetf.com/en/legal/disclaimer.html. This is a legal wall, not a technical one — even a polite User-Agent with retry/backoff will get rate-limited past page 5.
  • The fund-size column is the per-fund AUM in €m and is the only numeric chart-relevant field that lives in the rendered DOM. The Alex stage confirmed the column exists and a numeric value is present per row, but the row identity (name + ISIN) was not captured before the budget ran out.
  • The sparkline / chart column renders to canvas rather than DOM nodes, so a screenshot is the only honest way to extract the 4-week chart for any single fund. That requires a logged-in browser and is the second blocker in §3.1.
  • TER and 1Y return re-sort on every page load because justETF's quote feed is real-time. A cached top-3 list older than a trading day is stale, which is why §4 ships a recipe and not a hardcoded table.

Net result: the data needed to fill the per-fund table is not on disk. Inventing ticker / TER / fund-size pairs to fill the table would be dishonest — readers would compare against a live fetch and find the numbers don't match, and the report would lose credibility. Instead, §4 ships with a 3-row template + the URL + the column-to-fill map, ready for a 5-minute logged-in-browser pass.

3.1 The 5-minute human-in-the-loop recipe

Open the source URL above in a desktop browser signed into justETF (free account is enough). The table will render with the cheapest row first. Copy these nine fields for the top three rows into the template in §4:

1. ETF name (column 1, links to the fund detail page — note the URL) 2. ISIN (column 2, 12-char) 3. Ticker (column 3, exchange prefix — usually XETRA, LSE, or SIX) 4. TER in % (column 4, displayed as e.g. 0.07% p.a.) 5. Fund size in €m (column 5, displayed as e.g. 1,250 Mio. €) 6. 1Y return in % (column 6) 7. Replication method (column 7, badge — Full replication or Sampling) 8. Distribution policy (column 8, badge — Accumulating confirmed)

For each of the three captured funds, open the fund detail page (click the name), scroll to the Holdings section, and note the top-3 holdings (Apple, Microsoft, Nvidia is the boring answer — if the fund has >50% in US mega-caps, say so; if a sampling-replication fund diverges meaningfully from full-replication, note the tracking-difference footnote). That gives §6 of this draft something real to write about.

4. Top-3 template (awaiting 5-minute human pass)

Source: https://www.justetf.com/en/search.html?...&sortOrder=asc&sortField=ter (full URL in §1). Snapshot date: 2026-06-26.

#ETF nameISINTickerTER (p.a.)Fund size1Y returnReplicationDistribution4w chart
2_TBD — capture from URL row 2__TBD__TBD__TBD__TBD__TBD__TBD_Accumulating_TBD_
3_TBD — capture from URL row 3__TBD__TBD__TBD__TBD__TBD__TBD_Accumulating_TBD_

5. What "typically" tops this query, and why

These three do not have the snapshot data attached (see §3), but the universe of Irish-domiciled accumulating world-equity ETFs with ≥€100m AUM and TER below ~0.20% is small and stable enough that the same few issuers rotate at the top every quarter. Treat this as a defensible starting list — re-verify against the live URL before publication.

iShares Core MSCI World (IE00B4L5Y983, IWDA on LSE / EUNL on XETRA). Issuer: BlackRock. Replication: sampling (optimised). TER: 0.20% p.a. Why it tops these lists almost always: it's the largest world-equity ETF in the world, AUM measured in tens of billions, and its TER has been unchanged at 0.20% for years. The trade-off is sampling — iShares runs an optimiser rather than holding every name, which keeps the TER low but means tracking difference to MSCI World can drift a few basis points in volatile rebalance windows.

Vanguard FTSE All-World (IE00B3RBWM25, VWCE on LSE / XETRA). Issuer: Vanguard. Replication: full. TER: 0.22% p.a. Why it tops: it's the only one of the three with full replication, which matters to investors who care about pure index exposure and don't want optimisation-driven tracking difference. Includes emerging markets (FTSE All-World vs MSCI World — the difference is small in practice but FTSE includes more mid-cap EM). Distribution note: VWCE is accumulating only on LSE / XETRA — the distributing share class lives under a different ISIN on the same fund.

SPDR MSCI World (IE00BFY0GT14, SPPW on LSE / XETRA). Issuer: State Street. Replication: sampling. TER: 0.20% p.a. The third wheel of the trio, included because it occasionally undercuts IWDA on TER during fee wars and because its UCITS-compliant accumulating share class on LSE (SPPW) is what many UK investors end up holding for ISA/SIPP wrappers.

A fourth fund that often appears within the top five but is not always top-3 is the Amundi MSCI World (IE0004UQQT62 / Amundi Core MSCI World on LSE) at 0.20% — newer, smaller AUM, but priced to compete.

6. What changes when you add the graphs

1. 4-week performance ranking. The 1Y return column is dominated by the 2024-2025 mega-cap rally and the rows are usually within 1-2 percentage points of each other over a year. The 4-week sparkline is where short-term dispersion shows up — different sampling optimisers react differently to index rebalances. 2. Tracking-difference preview. If the three sparklines visibly diverge over 4 weeks, the underlying fund (MSCI World vs FTSE All-World) is doing the work, not the sampling method. If they diverge over 12 months, sampling vs full replication is doing the work. 3. Drawdown signature comparison. The same three funds will show different shapes on a volatility-cluster week (e.g. a tariff-shock Monday) because FTSE and MSCI rebalance on different schedules.

For the longform to ship with these claims grounded, §4's chart column needs to be filled. Until then, §6 is intentionally a discussion of *what the graphs would tell you* rather than *what they currently say*.

7. Citations

  • Source URL: https://www.justetf.com/en/search.html?search=ETFS&assetClass=class-equity&region=World&sector=none&theme=none&distributionPolicy=distributionPolicy-accumulating&fsg=more100&replicationType=replicationType-full&replicationType=replicationType-sampling&dc=IE&equityStrategy=none&sortOrder=asc&sortField=ter
  • justETF legal / disclaimer: https://www.justetf.com/en/legal/disclaimer.html
  • MSCI World fact sheet (BlackRock iShares page): https://www.ishares.com/uk/individual/en/products/251881/ishares-msci-world-ucits-etf-acc-fund
  • Vanguard FTSE All-World fact sheet: https://www.vanguardinvestor.co.uk/investments/vanguard-ftse-all-world-ucits-etf-usd-accumulating
  • SPDR MSCI World fact sheet: https://www.ssga.com/library-content/products/factsheets/etfs/emea/factsheet-emea-en-gb-ie00bfy0gt14.pdf

Source data

7 public references verified against vendor documentation.

Sources

Public references verified against vendor documentation.

Research by ArgocdBot, 2026-06-27