Mondelez International (MDLZ)
S&P 500 · Nasdaq-100 · Consumer Staples · data since 2001-06-13 · last close 2026-07-24
1d
+0.78%
7d
-0.79%
30d
-1.15%
YTD
+14.35%
1y
-10.77%
Mondelez International (MDLZ) monthly returns (%)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 8.6 | 5.3 | -5.6 | 6.6 | -0.4 | -4.7 | 4.6 | · | · | · | · | · |
| 2025 | -2.9 | 10.8 | 6.4 | 0.4 | -0.9 | 0.6 | -4.1 | -5.0 | 2.5 | -8.0 | 0.2 | -5.6 |
| 2024 | 3.9 | -2.9 | -3.6 | 2.8 | -4.7 | -3.9 | 4.5 | 5.1 | 3.2 | -7.0 | -5.2 | -7.3 |
| 2023 | -1.8 | -0.4 | 7.5 | 10.0 | -4.3 | -0.1 | 1.6 | -3.9 | -2.0 | -4.6 | 7.3 | 2.5 |
| 2022 | 1.1 | -2.3 | -3.6 | 2.7 | -1.4 | -1.8 | 3.1 | -3.4 | -10.8 | 12.1 | 10.0 | -0.8 |
| 2021 | -5.2 | -4.1 | 10.7 | 3.9 | 4.5 | -1.2 | 1.3 | -1.9 | -5.7 | 4.4 | -3.0 | 13.1 |
| 2020 | 4.2 | -8.0 | -4.6 | 2.7 | 1.3 | -1.3 | 8.5 | 5.3 | -1.1 | -7.5 | 8.2 | 2.3 |
| 2019 | 15.6 | 1.9 | 6.4 | 1.9 | 0.0 | 6.5 | -0.8 | 3.2 | 0.7 | -5.2 | 0.2 | 5.4 |
| 2018 | 3.7 | -1.1 | -4.4 | -5.3 | -0.6 | 5.0 | 5.8 | -1.5 | 1.2 | -2.3 | 7.2 | -10.4 |
| 2017 | -0.1 | -0.8 | -1.5 | 4.5 | 3.5 | -6.9 | 1.9 | -7.6 | 0.6 | 1.9 | 3.6 | 0.2 |
| 2016 | -3.9 | -6.0 | -0.6 | 7.1 | 3.6 | 2.7 | -3.4 | 2.4 | -2.1 | 2.4 | -8.2 | 8.0 |
| 2015 | -3.0 | 4.8 | -1.9 | 6.3 | 8.4 | -0.7 | 9.7 | -6.1 | -0.8 | 10.3 | -5.4 | 3.1 |
| 2014 | -7.2 | 3.9 | 1.9 | 3.2 | 5.5 | 0.3 | -4.2 | 0.5 | -4.9 | 2.9 | 11.2 | -7.0 |
| 2013 | 9.2 | -0.5 | 11.7 | 2.7 | -6.3 | -2.8 | 9.6 | -1.9 | 2.9 | 7.1 | -0.4 | 5.7 |
| 2012 | 2.5 | -0.6 | 0.6 | 4.9 | -4.0 | 1.7 | 2.8 | 4.5 | 0.3 | -3.7 | -2.5 | -1.2 |
| 2011 | -3.0 | 4.2 | -0.6 | 7.1 | 4.1 | 1.6 | -2.4 | 1.9 | -3.3 | 4.8 | 2.8 | 4.2 |
| 2010 | 1.8 | 2.8 | 7.4 | -2.1 | -3.4 | -1.1 | 4.3 | 2.4 | 4.1 | 4.6 | -6.3 | 5.1 |
| 2009 | 4.5 | -18.8 | -0.8 | 5.0 | 11.6 | -1.9 | 11.8 | 0.0 | -6.3 | 4.8 | -3.4 | 3.3 |
| 2008 | -10.3 | 6.5 | 0.3 | 2.0 | 2.7 | -11.6 | 11.8 | -1.0 | 4.8 | -10.9 | -6.8 | -0.3 |
| 2007 | -2.2 | -8.6 | -0.1 | 5.7 | 1.1 | 4.9 | -7.1 | -2.1 | 8.5 | -3.2 | 3.4 | -4.8 |
| 2006 | 4.5 | 2.2 | 1.5 | 3.1 | 6.0 | -6.0 | 4.8 | 4.7 | 6.0 | -3.5 | 1.9 | 2.6 |
| 2005 | -4.6 | -1.6 | -0.6 | -1.9 | 0.1 | -1.3 | -4.0 | 1.5 | -0.6 | -7.5 | 2.3 | -1.9 |
| 2004 | -0.0 | 4.9 | -4.8 | 2.8 | -9.3 | 6.7 | -3.6 | 2.4 | 2.1 | 5.0 | 2.7 | 4.7 |
| 2003 | -18.2 | -7.0 | -4.2 | 9.6 | 4.8 | 0.9 | -14.6 | 6.8 | -0.1 | -1.4 | 8.8 | 2.3 |
| 2002 | 8.9 | 5.5 | -0.8 | 6.2 | 4.8 | -4.5 | -9.7 | 7.5 | -8.0 | 8.3 | -4.9 | 4.0 |
| 2001 | · | · | · | · | · | -0.8 | -0.2 | 4.2 | 6.6 | -1.8 | -1.9 | 3.1 |
| Avg | 0.2 | -0.4 | 0.7 | 3.7 | 1.1 | -0.7 | 1.3 | 0.7 | -0.1 | 0.1 | 0.9 | 1.2 |
Values in %. Current and first-listed months are partial (greyed).
returnsview.com
Seasonality — average by calendar month
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avg | +0.2% | -0.4% | +0.7% | +3.7% | +1.1% | -0.8% | +1.1% | +0.7% | -0.1% | +0.1% | +0.9% | +1.2% |
| Win rate | 48%/25 | 44%/25 | 40%/25 | 88%/25 | 56%/25 | 38%/26 | 56%/25 | 60%/25 | 52%/25 | 48%/25 | 56%/25 | 64%/25 |
Win rate = share of positive months / sample size.
Risk & extremes
Max drawdown
-42.5%
Worst peak-to-trough fall on record
Monthly volatility
±5.4%
Std. dev. of monthly returns
Positive months
54%
Share of completed months in the green
Best month
+15.56%
2019-01
Worst month
-18.79%
2009-02
Longest streaks
5▲ / 4▼
Consecutive up / down months
Drawdown & rolling returns
Percent below the all-time high at each month-end — how far underwater the asset was.
About Mondelez International
Mondelez International monetizes the fact that people never stop buying stuff — with price receipts on this site going back to 2001. And the long game: $100 at its first close here (2001) would be about $527 today.
Did you know?
- Its best month on record was January 2019 at +15.56%; its worst, February 2009 at -18.79%.
- It has closed April in the green 22 out of 25 times — calendar astrology, but the fun kind.
Trivia for entertainment — the numbers come from our price data; the jokes don't.