Appian Corp

10-Year Study

APPN.US · Technology · US · Common Stock

Executive Summary: Appian Corp has compounded at 2.0% annually over the last 10 years, with a maximum drawdown of 90.3% and an annualized volatility of 106.8%.

1Y CAGR
-35.4%
3Y CAGR
-21.5%
5Y CAGR
-25.6%
10Y CAGR
+2.0%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
90.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.27
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.76
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
68.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +324.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · -59.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
44%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-21.2-4.4-9.6-12.4-40.4%
20256.4-7.5-11.37.81.4-5.2-7.511.5-0.7-2.135.0-12.37.4%
2024-13.46.814.6-6.3-24.28.719.7-12.25.24.75.9-12.9-12.4%
202327.00.27.1-15.414.111.18.2-5.5-6.3-13.5-8.23.915.7%
2022-13.68.1-0.2-21.4-0.1-0.92.5-3.4-12.919.6-22.1-14.4-50.1%
202134.8-21.3-22.7-8.9-25.352.2-15.5-7.9-13.77.5-25.2-12.3-59.8%
202033.6-13.5-8.913.524.7-10.0-0.720.45.7-2.2121.215.8324.2%
201920.513.4-5.64.80.1-0.28.951.4-20.1-6.0-3.5-11.343.1%
2018-1.5-12.8-6.97.717.613.4-14.012.4-5.2-22.316.9-11.1-15.2%
20172.87.817.024.3-18.8-4.743.078.4%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Risk Profile Insight: This asset has an estimated annualized volatility of 106.8%. The dominant macroeconomic risk driver is SHV.US, accounting for 71.0% of variance. Idiosyncratic stock-specific factors contribute 13.4%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-05-0110000
2017-06-0110283.28611898017
2017-07-0111082.15297450425
2017-08-0112968.838526912183
2017-09-0116124.645892351276
2017-10-0113087.818696883854
2017-11-0112475.920679886687
2017-12-0117835.694050991504
2018-01-0117563.73937677054
2018-02-0115320.113314447592
2018-03-0114266.288951841361
2018-04-0115359.773371104817
2018-05-0118067.98866855524
2018-06-0120487.252124645893
2018-07-0117609.065155807366
2018-08-0119790.368271954674
2018-09-0118753.541076487254
2018-10-0114566.572237960343
2018-11-0117031.16147308782
2018-12-0115133.14447592068
2019-01-0118237.960339943344
2019-02-0120674.220963172807
2019-03-0119507.082152974508
2019-04-0120447.592067988673
2019-05-0120470.254957507084
2019-06-0120436.260623229464
2019-07-0122260.62322946176
2019-08-0133694.05099150142
2019-09-0126912.18130311615
2019-10-0125291.784702549576
2019-11-0124407.932011331446
2019-12-0121648.725212464593
2020-01-0128917.847025495754
2020-02-0125014.16430594901
2020-03-0122793.201133144474
2020-04-0125875.354107648727
2020-05-0132271.954674220968
2020-06-0129036.827195467424
2020-07-0128821.529745042495
2020-08-0134696.88385269122
2020-09-0136685.55240793202
2020-10-0135864.02266288952
2020-11-0179320.1133144476
2020-12-0191835.69405099151
2021-01-01123773.37110481587
2021-02-0197393.76770538244
2021-03-0175325.7790368272
2021-04-0168657.223796034
2021-05-0151263.45609065156
2021-06-0178045.32577903684
2021-07-0165966.00566572239
2021-08-0160736.543909348446
2021-09-0152413.59773371106
2021-10-0156322.94617563739
2021-11-0142124.64589235127
2021-12-0136946.17563739377
2022-01-0131937.67705382436
2022-02-0134538.24362606233
2022-03-0134458.923512747875
2022-04-0127082.152974504246
2022-05-0127065.15580736544
2022-06-0126832.8611898017
2022-07-0127495.750708215302
2022-08-0126572.237960339942
2022-09-0123133.14447592068
2022-10-0127660.0566572238
2022-11-0121546.74220963173
2022-12-0118447.592067988673
2023-01-0123436.260623229464
2023-02-0123484.419263456093
2023-03-0125144.475920679888
2023-04-0121274.787535410767
2023-05-0124266.28895184136
2023-06-0126968.838526912183
2023-07-0129189.801699716718
2023-08-0127592.06798866856
2023-09-0125841.359773371107
2023-10-0122356.940509915017
2023-11-0120532.57790368272
2023-12-0121337.110481586402
2024-01-0118487.252124645893
2024-02-0119745.04249291785
2024-03-0122634.560906515584
2024-04-0121212.464589235125
2024-05-0116084.985835694053
2024-06-0117484.419263456093
2024-07-0120929.17847025496
2024-08-0118379.60339943343
2024-09-0119342.77620396601
2024-10-0120254.957507082156
2024-11-0121444.75920679887
2024-12-0118685.552407932013
2025-01-0119881.019830028334
2025-02-0118396.60056657224
2025-03-0116322.946175637393
2025-04-0117592.067988668558
2025-05-0117847.02549575071
2025-06-0116917.84702549575
2025-07-0115643.059490084986
2025-08-0117439.093484419267
2025-09-0117320.113314447593
2025-10-0116957.507082152977
2025-11-0122889.518413597732
2025-12-0120067.988668555245
2026-01-0115807.365439093486
2026-02-0115110.48158640227
2026-03-0113660.056657223795
2026-04-0111960.339943342777
Annual Return Matrix
YearAnnual Return
2018-0.15152477763659467
20190.4305503556720329
20203.2420832242868363
2021-0.5976926398914184
2022-0.5006900782088636
20230.15663390663390642
2024-0.1242697822623473
20250.07398423286840528
2026-0.4040090344438171
Total Factor Risk
1.0678402313675917
VTI.US Exposure
0.06160058775619833
VEA.US Exposure
0.0038269936045751186
VWO.US Exposure
-0.0005232196383961303
QQQ.US Exposure
0.045627478869390385
VTV.US Exposure
-0.004001341511836974
IJR.US Exposure
0.0017680767170112077
QUAL.US Exposure
-0.01650661638631307
SHV.US Exposure
0.7099264072261763
TLT.US Exposure
0.009582295420097751
LQD.US Exposure
0.022737426956559812
HYG.US Exposure
0.020971827743913117
GLD.US Exposure
-0.000034378341266489076
USO.US Exposure
0.00016646207992136196
VNQ.US Exposure
0.005817679974014587
BTC-USD.CC Exposure
-0.00299659040058377
CPER.US Exposure
-0.000057687460977466
VIX.INDX Exposure
0.0034871962830734264
UUP.US Exposure
0.0023649693917696187
TIP.US Exposure
0.001969388328232608
Idiosyncratic Exposure
0.13427304338844034
Value Score
0
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
106.8%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →1223.5x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$1.8B
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-14.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-30.8%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
53.7% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
1.01
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Appian Corp a high-risk investment?

Appian Corp (APPN.US) has an annualized volatility of 106.8% and experienced a maximum drawdown of 90.3% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of APPN.US?

Over the past 10 years, APPN.US has generated a Compound Annual Growth Rate (CAGR) of 2.0%. It has had a positive return in 44% of the years measured.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

Run a Full Backtest on Appian Corp

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest