Polar Capital Technology Trust: a crash playbook for tech investors

Polar Capital Technology Trust (LSE: PCT) has delivered a 185% share price gain over the past three years, yet it currently trades at a 12-month average discount to net asset value of 9.13%, with a latest NAV of 726.06p as at 13 July 2026. For investors mapping out what to buy if markets crack, that combination of track record and discount is worth examining closely.

The risks building in the background

Several pressures are accumulating simultaneously. Middle East conflict carries the potential for naval blockades affecting trade routes, which feeds into supply chain disruption, higher fuel costs and eventually squeezed consumer spending. US equities remain at historically elevated valuations, leaving the index with limited cushion if sentiment shifts. Meanwhile, the AI infrastructure build-out, which is still absorbing trillions of dollars of capital expenditure, is an experiment without a clean historical precedent.

Mass displacement of workers is a medium-term risk that equity markets have not yet fully priced. And technology revolutions have a long history of spawning asset-price bubbles: railroads in the 1840s, the internet in the late 1990s. The current AI cycle is not immune to the same pattern.

None of this means a crash is imminent. The bears have been predicting one for years. But it does mean investors should have a plan in place before prices move, not after.

Polar Capital Technology Trust: structure, costs and the discount

Launched in December 1996, PCT has operated through multiple technology cycles, including the dot-com collapse and the 2008 financial crisis. Total assets reached £8,583.7m as at 29 May 2026, up from £7,324.1m as at 30 April 2026, reflecting the rally in global technology equities over that month. The two figures come from separate pages of the trust’s own disclosures; the May figure is the more recent.

The ongoing charge is 0.69% with no performance fee, according to Hargreaves Lansdown’s PCT share data. Gross gearing stands at 0.00%, so the trust carries no leverage risk at present. A single-company holding is capped at 10% of gross assets unless the benchmark weighting of that stock exceeds that level.

The 52-week range has been wide. According to CNBC’s PCT-GB quote page, shares hit a high of 743.50p on 6 March 2026 and a low of 384.00p on 20 August 2025. That trough-to-peak move underlines how sharply tech-focused vehicles can recover after a sell-off, which is precisely the dynamic relevant to a crash-buying strategy.

Top holdings and concentration risk

The portfolio is heavily weighted to US mega-cap technology. As at 31 July 2025, according to a Seymour Sinclair factsheet reproducing PCT data, the top 10 positions were as follows:

The top 10 together accounted for 50.6% of the portfolio. Concentration in one sector and one geography (predominantly North America) is the main structural risk. A broad de-rating of US technology multiples would pull this trust down with it.

The trust’s own view on the AI cycle is unambiguous: ‘Three-and-a-half years after ChatGPT launched, it is tempting to assume the AI cycle is well advanced. We believe the opposite. In our view, 2026 looks less like the middle of the cycle than its beginning.’ That framing matters for the long thesis: if the investment team is correct, the addressable growth runway remains long even after recent gains.

What the discount and the crash thesis actually mean

Warren Buffett’s instruction to be ‘greedy when others are fearful’ is quoted so often it has lost some force. The practical version of it is buying an asset you understand, at a price below its intrinsic value, when sentiment is against it.

PCT’s 12-month average discount of 9.13% on AJ Bell’s LSE:PCT page means investors are currently acquiring the underlying portfolio at less than its stated worth. In a sell-off, discounts on investment trusts tend to widen before they narrow, so entry timing matters. But for a vehicle with PCT’s cost structure, track record (it won the Financial Times and Investors Chronicle ‘Investment Trust of the Year, Overall Winner’ award in 2024, per the trust’s own FAQ), and the longevity to have survived previous cycles since its 1996 launch, a sharp drawdown could represent the kind of setup the strategy is built for.

The next test is whether the AI spending cycle delivers the earnings growth that current valuations across the sector imply. If it does, the discount closes and the underlying NAV grows. If the cycle disappoints, the discount may widen further before the opportunity crystallises. Either way, knowing the trust’s cost base, concentration, and current NAV gap is the starting point for making that judgement.