PnL Decomposition in DeFi: Yield PnL vs Price effect

A DeFi fund’s profit-and-loss mixes protocol yield, price movements, and allocation decisions into a single number. Here is how to decompose it into components that are actually attributable.

Why Total PnL Is Not Enough

A DeFi fund that earned $2.4M in a quarter needs to answer a harder question: where did that come from? Was it yield accrued from lending markets? Was it appreciation in the underlying tokens held? Or was it driven by smart allocation — moving out of a falling position before others did?

This matters for several reasons. LPs who allocate for yield generation want to know whether the yield thesis is performing. Risk managers need to know how much of the return depended on token price appreciation that may not repeat. And managers need to know whether their allocation decisions added or destroyed value relative to just holding the underlying assets.

The Two Decomposition Axes

DeFi PnL can be decomposed along two independent axes, each answering a different question.

Axis 1 — Protocol Yield vs Price Effect: Yield P&L is the income the fund earned from protocol mechanics: interest on lending positions, trading fees from LP positions, staking rewards, and incentive distributions. Price Effect P&L is everything else: Total P&L minus Yield P&L. This captures changes in the USD value of the position that came from token price movements, not from protocol yield accrual.

Axis 2 — Strategy vs Market: Strategy P&L answers what was the PnL impact of the manager’s allocation decisions. It is computed as the change in token quantity (from buys, sells, and rebalances) multiplied by the closing price. If the manager rotated from ETH to stablecoins before a correction, the Strategy P&L reflects that decision’s value. Market P&L is the residual: Total P&L minus Strategy P&L — the effect of price movements on positions the manager held passively.

Why Both Axes Are Independent

These are not two views of the same split. They cut across the PnL along different dimensions.

A position with high Yield P&L but negative Price Effect can be a successful yield trade that lost value due to token depreciation. A position with zero Yield P&L but positive Strategy P&L is a pure alpha trade — the manager timed the market well.

Running both decompositions together allows the fund to map its performance into a 2×2 space: yield-driven income vs price-driven income on one axis, and manager-driven vs market-driven on the other.

Practical Example: A Pendle Position

Consider a fund that purchased Pendle PT-wstETH-Dec2025 six months before maturity and held it to close.

Yield P&L: the fixed yield embedded in the PT discount accreted over the holding period as the price moved toward par. This is income return.

Price Effect P&L: if wstETH appreciated during the period, the redemption value increased. This is capital return.

Strategy P&L: if the manager entered the position when implied fixed rates were unusually high and exited when they compressed, the timing decision added value — captured in Strategy P&L.

Market P&L: the residual movement in the position’s value from general yield-curve and wstETH price dynamics that the manager did not specifically time.

Making Decomposition Useful for LPs

PnL decomposition is most useful when it is surfaced in LP-facing reports as two clean numbers: yield earned and capital appreciation (or depreciation). This maps directly to the return components that sophisticated LPs use to evaluate a strategy.

A DeFi yield fund that produced $1.2M in Yield P&L and −$180K in Price Effect P&L is telling a coherent story: we earned substantial yield from protocol mechanics, and a small portion was eroded by token price movement. That is a very different narrative than a fund that produced the same net $1.02M but with $0 in Yield P&L and all returns from price appreciation.