Shutterstock (SSTK) Operating Expenses (2011 - 2026)
Shutterstock's Operating Expenses was $377.04 million in Q2 2026, up 62.3% from $232.26 million a year earlier and up 63.8% from the prior quarter.
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Analysis
Shutterstock (SSTK) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shutterstock's Operating Expenses was $1.06 billion through Jun 30, 2026, up 13.2% year-over-year; for FY2025, it was $914.87 million, up 5.6% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $866.55 million in FY2024 (+7.5%), $806.19 million in FY2023 (+9.8%), $734.2 million in FY2022 (+10.4%) and $665.31 million in FY2021 (+14.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2011.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 13.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 62.3%); the worst was Q4 2025 (a decline of 6.1%).
- Per Business Quant data, SSTK's Operating Expenses in the three quarters before Q2 2026 was $230.12 million (Q1 2026), $222.59 million (Q4 2025) and $227.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 5.48 Bn |
| 10 | Shutterstock | 109.19 Mn | -530.31 Mn | 128.01 Mn | 377.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.04 Mn |
| Mar 31, 2026 | 230.12 Mn |
| Dec 31, 2025 | 222.59 Mn |
| Sep 30, 2025 | 227.60 Mn |
| Jun 30, 2025 | 232.26 Mn |
| Mar 31, 2025 | 232.42 Mn |
| Dec 31, 2024 | 237.16 Mn |
| Sep 30, 2024 | 232.44 Mn |
| Jun 30, 2024 | 199.39 Mn |
| Mar 31, 2024 | 197.57 Mn |
| Dec 31, 2023 | 215.10 Mn |
| Sep 30, 2023 | 216.06 Mn |
| Jun 30, 2023 | 200.13 Mn |
| Mar 31, 2023 | 174.91 Mn |
| Dec 31, 2022 | 210.08 Mn |
| Sep 30, 2022 | 175.41 Mn |
| Jun 30, 2022 | 181.50 Mn |
| Mar 31, 2022 | 167.21 Mn |
| Dec 31, 2021 | 191.19 Mn |
| Sep 30, 2021 | 172.27 Mn |
API Access
Shutterstock Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=SSTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SSTK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();