SSTK - Shutterstock, Inc. Stock Analysis | Stock Taper
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Shutterstock, Inc.

SSTK

Shutterstock, Inc. NYSE
$14.89 -4.18% (-0.65)

Market Cap $547.03 M
52w High $29.50
52w Low $14.36
Dividend Yield 6.91%
Frequency Quarterly
P/E -24.02
Volume 742.72K
Outstanding Shares 36.74M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q1-2026 $199.17M $135.34M $-47.57M -23.88% $-1.34 $-8.41M
Q4-2025 $220.22M $120.21M $-16.02M -7.27% $-0.45 $23.52M
Q3-2025 $260.09M $125.05M $13.39M 5.15% $0.38 $48.11M
Q2-2025 $266.99M $126.27M $29.44M 11.03% $0.84 $69.97M
Q1-2025 $242.62M $131.53M $18.69M 7.7% $0.54 $10.2M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q1-2026 $162.52M $1.31B $779.12M $532.08M
Q4-2025 $178.24M $1.36B $774.9M $581.04M
Q3-2025 $165.54M $1.38B $781.24M $594.36M
Q2-2025 $116.41M $1.38B $790.29M $586.16M
Q1-2025 $112.23M $1.32B $777.04M $547.18M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q1-2026 $-47.57M $17.37M $-11.15M $-19.95M $-15.73M $5.78M
Q4-2025 $-16.02M $36.21M $-10.36M $-12.83M $12.71M $25.9M
Q3-2025 $13.39M $78.39M $-11.24M $-16.57M $49.13M $66.82M
Q2-2025 $29.44M $26.84M $-14.96M $-13.88M $4.18M $15.52M
Q1-2025 $18.69M $25.25M $-11.23M $-15.82M $980K $14.44M

Revenue by Products

Product Q1-2025Q2-2025Q3-2025Q1-2026
Content
Content
$0 $0 $0 $180.00M
ECommerce
ECommerce
$200.00M $200.00M $190.00M $0
Enterprise
Enterprise
$40.00M $70.00M $70.00M $0

Revenue by Geography

Region Q2-2025Q3-2025Q4-2025Q1-2026
All Regions Of The World Except North America And Europe
All Regions Of The World Except North America And Europe
$50.00M $50.00M $50.00M $50.00M
Europe
Europe
$60.00M $60.00M $70.00M $60.00M
North America
North America
$150.00M $140.00M $100.00M $90.00M

Q3 2024 Earnings Call Summary

Read Call Summary

5-Year Trend Analysis

A comprehensive look at Shutterstock, Inc.'s financial evolution and strategic trajectory over the past five years.

+ Strengths

Shutterstock combines a globally recognized brand, a vast and continuously refreshed content library, and a large contributor network that is difficult to replicate. It has demonstrated steady revenue growth, reasonably resilient operating cash generation over time, and a willingness to invest in R&D and acquisitions to stay ahead of industry shifts. Its emerging strengths in AI, ethical data practices, enterprise services, and unique assets like GIPHY and Studios broaden its role beyond simple stock content. The balance sheet still shows growing equity and improved net cash in the latest year, giving it some cushion to pursue its strategy.

! Risks

The main concerns center on profitability, balance‑sheet risk, and industry disruption. Operating costs—especially overhead and content‑related expenses—have outpaced revenue growth, compressing margins and dragging down net income and earnings per share. Leverage and short‑term liquidity have both become more stretched than in the past, even if recent cash improvement helps. Structurally, generative AI, aggressive competitors with bundled ecosystems, and legal uncertainty around AI and copyrights all pose threats to the legacy business model. Any large integration, such as a potential Getty merger, would add execution and regulatory risk on top of these existing challenges.

Outlook

The forward picture for Shutterstock is balanced between opportunity and uncertainty. On one hand, the company is leaning into AI, enterprise solutions, and strategic partnerships, which, if successful, could restore margin momentum and deepen its relevance in a more automated creative world. On the other hand, near‑term earnings are under pressure, cash flows have been uneven, and the external environment is shifting quickly in ways that could erode traditional revenue streams. Over the next few years, outcomes will depend heavily on cost discipline, the payoff from recent investments and acquisitions, and how effectively Shutterstock converts its scale and data into differentiated AI‑driven services.