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Funds (13F)

Mantle Ridge LP

Backtest from 16 Feb 2018 to 2 Nov 2026 · weekly · hypothetical

Watch this strategy
Return a year
+0.2%
S&P 500 +14.1%
Last 12 months
+47.0%
S&P 500 +12.1%
Sharpe ratio
0.12
S&P 500 0.67
Biggest drop
−62.6%
S&P 500 −31.8%
$10.0k$20.0k 201820192020202120222023202420252026 $31.6k$10.2k
Mantle Ridge LPS&P 500 $10,000 in Mantle Ridge LP from 16 Feb 2018 against the S&P 500 (total return) over the same dates, marked weekly, log scale. Hypothetical: before taxes and trading costs.

About

Copies Mantle Ridge LP's quarterly 13F holdings in the companies we cover, weighted by reported value: it buys on the first trading day after each 13F is filed (up to 45 days after the quarter) and holds until the next filing. A 13F shows long US-listed positions only, at the quarter's end, so this misses shorts, cash, bonds, non-US holdings and trading within the quarter.

Mantle Ridge LP's 13F holdings →

Key statistics

MeasureStrategyS&P 500
Return a year (compound)+0.2%+14.1%
Total return+2%+216%
Last 12 months+47.0%+12.1%
Last 3 months+3.4%—
Last month0.0%—
This year so far+29.2%—
Volatility a year38.2%17.9%
Sharpe ratio0.120.67
Biggest drop−62.6%−31.8%
Beta to the S&P 5001.261.00
Alpha a year (t-statistic)−10.4% (−1.00)—
Share of weeks up50%—

Sharpe ratio uses returns above the 3-month Treasury bill rate. Alpha is the yearly return left after allowing for the strategy's exposure to the S&P 500 (CAPM); a t-statistic below about 2 means it cannot be told apart from luck.

Insights

No positions at the latest rebalance.

PeriodReturn a yearS&P 500SharpeS&P 500Biggest dropBetaAlpha (t)
Whole backtest16 Feb 2018 to 2 Nov 2026+0.2%+14.1%0.120.67−62.6%1.26−10.4% (−1.00)
Last three years3 Nov 2023 to 2 Nov 2026−1.1%+21.8%−0.031.16−56.6%0.66−11.5% (−0.67)
Last year7 Nov 2025 to 2 Nov 2026+38.2%+14.2%1.020.84−17.6%0.50+28.0% (0.87)
DateCompanyAction
21 Feb 2025APDBought
15 Nov 2024DLTRBought

Dated at the rebalance that made the change.

DateCompanyAction
21 Aug 2026DLTRSold
22 May 2026APDSold

Dated at the rebalance that made the change.

Backtests are hypothetical and use today's listed companies only, which flatters results. Past performance does not predict future returns. This is research, not investment advice. How we backtest