Based on current macro regime conditions and microsoft (msft)'s historical behaviour in similar regimes, the model projects $465 by 2026-12-31 ( +3.4% from $450 today). The 68% confidence range is $375 to $556; the wider 95% range is $288 to $643. Methodology below the headline.
Microsoft (MSFT) Forecast 2026
Quantitative analysis from 1,311 observations of Microsoft (MSFT) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +12.2% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 267 | -2.20% | 24.41% | -0.09 | 48.1% | -2.20% |
| 3Y | 768 | 11.10% | 23.71% | 0.47 | 52.5% | 37.11% |
| 5Y | 1,271 | 12.74% | 26.47% | 0.48 | 51.0% | 81.99% |
| 10Y | 1,311 | 12.18% | 26.28% | 0.46 | 51.0% | 80.77% |
| All | 1,311 | 12.18% | 26.28% | 0.46 | 51.0% | 80.77% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Forward Returns by Macro Regime[04]
How Microsoft (MSFT) has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Low (<15) | 261 | -0.07% | 2.72% | 12.94% | 11.57% | 85.2% |
| Normal (15-25) | 852 | 1.58% | 5.46% | 13.07% | 10.84% | 62.5% |
| Elevated (25-40) | 176 | 2.90% | 0.23% | 18.11% | 24.64% | 74.4% |
| Extreme (>40) | 4 | n/a | n/a | n/a | n/a | n/a |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 540 | 2.69% | 9.59% | 27.05% | 26.72% | 90.4% |
| Flat (0-100bps) | 581 | -0.67% | -3.00% | 2.83% | 1.98% | 54.2% |
| Steep (>100bps) | 163 | 5.03% | 9.94% | -6.94% | -5.33% | 32.5% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 772 | 0.23% | 0.58% | 0.22% | 0.50% | 51.0% |
| Normal (350-500bps) | 469 | 3.11% | 10.02% | 26.67% | 26.88% | 87.0% |
| Stressed (>500bps) | 53 | 5.41% | 2.70% | 36.87% | 33.88% | 100.0% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 125 | 2.20% | 13.73% | 2.96% | 4.93% | 65.1% |
| Neutral (middle) | 336 | 0.29% | -4.93% | -11.35% | -12.65% | 14.9% |
| Strong (top tercile) | 818 | 1.92% | 7.02% | 20.01% | 19.54% | 81.4% |
Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.
Lead-Lag Relationships[05]
For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads Microsoft (MSFT); negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| VIX | Volatility leader | 0d | -0.501 | -0.501 | coincident |
| HY OAS Spread | Credit risk leader | 0d | -0.356 | -0.356 | coincident |
| Trade-Weighted Dollar | FX driver | -1d | -0.179 | -0.148 | coincident |
| 10Y Treasury Yield | Discount-rate driver | +41d | -0.139 | -0.035 | weak |
| NFCI | Financial conditions | -5d | -0.110 | -0.090 | weak |
| Baa-10Y Spread | Credit risk (slow) | -11d | -0.087 | -0.080 | weak |
| Copper | Global growth proxy | -1d | 0.081 | 0.076 | weak |
| 10Y-2Y Yield Spread | Recession leader | +9d | 0.078 | -0.009 | weak |
| Initial Jobless Claims | Labor leader | +8d | 0.074 | 0.024 | weak |
| U-Mich Consumer Sentiment | Survey leader | 0d | 0.000 | 0.000 | weak |
Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.
Historical Analogs[06]
Periods where Microsoft (MSFT) sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.
| DATE | VALUE | +30D | +90D | +1Y |
|---|---|---|---|---|
| Feb 20, 2025 | 416.1300 | -10.34% | 18.24% | -7.61% |
| Nov 22, 2024 | 417.0000 | 1.81% | -14.18% | 16.43% |
| Aug 13, 2024 | 414.0100 | 4.37% | 5.56% | 25.64% |
| Oct 27, 2023 | 329.8100 | 12.58% | 23.17% | 30.97% |
| Jul 27, 2023 | 330.7200 | 1.07% | 11.62% | 29.03% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Apr 9, 202510.13%
- Nov 10, 20228.23%
- May 1, 20257.63%
- Apr 18, 20267.55%
- Apr 26, 20237.24%
- Jan 29, 2026-9.99%
- Oct 26, 2022-7.72%
- Jan 30, 2025-6.18%
- Oct 31, 2024-6.05%
- Sep 13, 2022-5.50%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | -0.10% | 52.5% | 101 |
| February | -0.12% | 42.7% | 96 |
| March | 0.09% | 47.7% | 109 |
| April | 0.06% | 46.9% | 128 |
| May | 0.27% | 50.0% | 136 |
| June | 0.22% | 61.2% | 103 |
| July | 0.14% | 54.3% | 105 |
| August | -0.08% | 45.0% | 111 |
| September | -0.16% | 48.5% | 103 |
| October | 0.17% | 58.2% | 110 |
| November | 0.21% | 54.9% | 102 |
| December | -0.06% | 50.9% | 106 |
N = 1,311 OBS · GENERATED 2026-05-30 07:00Z
Forecast Approach
scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.
Key Drivers & Risks
- •Company earnings
- •Sector dynamics
- •Macro environment
- •Valuation
Historical Volatility
High: individual stock vol exceeds index vol
How MSFT Forecasts Have Held Up Historically
Microsoft forecasts have the best track record of any Magnificent Seven name because the company's revenue mix (Azure cloud, Office 365 subscription, gaming, Activision integration) is dominated by recurring revenue that compounds predictably. Sell-side MSFT targets have median absolute miss of roughly 9% on a 12-month horizon.
Regime-conditional models on MSFT achieve approximately 70% directional accuracy, the highest of any single stock in the major-name complex. The 2022 drawdown (-28%) was the largest recent miss; the 2024-2025 AI-capex bull run was correctly captured by the regime model because Azure-AI revenue tracks the broader hyperscaler capex regime cleanly.
Regime Sensitivity for MSFT
MSFT is the cleanest single-stock proxy for the AI-capex regime. Azure revenue growth (currently mid-30%s) is the most-watched single number in mega-cap tech because it captures both broad cloud demand and AI workload migration. The regime conditional reads MSFT as constructive in any environment where hyperscaler capex sustains.
The April 2026 setup has MSFT at $510-$530 range with Azure growth in the low-30%s, OpenAI partnership generating measurable revenue, and Copilot adoption tracking ahead of plan. Goldilocks regimes map to forward 252-day MSFT returns averaging +18%; stagflation near -5%; reflation near +12%; deflation near -8%.
What Drives MSFT Forecast Errors
Two structural issues dominate MSFT forecast errors. First, Azure revenue growth deceleration is the single biggest tail risk. The model uses a smoothed growth path; reality is lumpy because individual hyperscaler customer commits move the print. A 200bp deceleration in Azure growth (from 35% to 33%) can move MSFT 5-8% in a print despite no change in the regime classifier.
Second, the OpenAI relationship is binary in a way no model captures. MSFT's 49% economic stake in OpenAI is the largest single-source AI optionality in mega-cap tech; any change in that relationship structure (IPO, buyback, dilution) would re-price MSFT meaningfully. The regime conditional reads as constructive but with a wider tail than the bootstrap implies.
How to Use This Forecast in Practice
For MSFT, watch Azure revenue growth per Q and total commercial RPO (remaining performance obligations). When Azure growth holds above 30% and RPO grows in absolute dollars, the regime read is high-conviction constructive. When either deteriorates, scale position size down regardless of what the macro classifier says.
The cleanest cross-check for MSFT is the MSFT-NVDA spread. NVDA datacenter revenue feeds into hyperscaler capex which feeds into Azure-AI revenue. When NVDA datacenter accelerates, MSFT typically follows with a 1-2 quarter lag. The 68% band on MSFT should be treated as roughly 90% of QQQ's band because MSFT has lower realized vol than the index average.
Frequently Asked Questions
What factors could push Microsoft (MSFT) higher?▾
The primary drivers that tend to lift Microsoft (MSFT) depend on the current macro regime. Microsoft Corp., enterprise software and cloud computing leader. Convex tracks these drivers live across the Equity Stock category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push Microsoft (MSFT) lower?▾
The same transmission channels that drive Microsoft (MSFT) higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see Microsoft (MSFT) heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for Microsoft (MSFT)?▾
Historical ranges for Microsoft (MSFT) vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the Microsoft (MSFT) chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the Microsoft (MSFT) forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for Microsoft (MSFT) and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.