Shutterstock (SSTK) Revenue (2011 - 2026)
Shutterstock (SSTK) reported Revenue of $221.8 million for Q2 2026, down 16.9% from $266.99 million a year earlier but up 11.4% from the prior quarter.
Shutterstock (SSTK) Revenue (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Shutterstock's Revenue came in at $901.29 million, down 10.8% year-over-year; for FY2025, it was $989.93 million, up 5.8% from FY2024.
- Revenue has increased for 15 consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Revenue came in at $935.26 million in FY2024 (+6.9%), $874.59 million in FY2023 (+5.6%), $827.83 million in FY2022 (+7.0%) and $773.42 million in FY2021 (+16.0%).
- Five-year quarterly Revenue spans a low of $194.44 million in Q3 2021 and a high of $266.99 million in Q2 2025.
- Year over year, Revenue has now declined in each of the last three quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q2 2025 (growth of 21.3%); the low point was Q1 2026 (a decline of 17.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $199.17 million (Q1 2026), $220.22 million (Q4 2025) and $260.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Shutterstock | 162.78 Mn | -476.73 Mn | 128.01 Mn | 221.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 221.80 Mn |
| Mar 31, 2026 | 199.17 Mn |
| Dec 31, 2025 | 220.22 Mn |
| Sep 30, 2025 | 260.09 Mn |
| Jun 30, 2025 | 266.99 Mn |
| Mar 31, 2025 | 242.62 Mn |
| Dec 31, 2024 | 250.31 Mn |
| Sep 30, 2024 | 250.59 Mn |
| Jun 30, 2024 | 220.05 Mn |
| Mar 31, 2024 | 214.32 Mn |
| Dec 31, 2023 | 217.22 Mn |
| Sep 30, 2023 | 233.25 Mn |
| Jun 30, 2023 | 208.84 Mn |
| Mar 31, 2023 | 215.28 Mn |
| Dec 31, 2022 | 217.73 Mn |
| Sep 30, 2022 | 204.10 Mn |
| Jun 30, 2022 | 206.87 Mn |
| Mar 31, 2022 | 199.13 Mn |
| Dec 31, 2021 | 205.78 Mn |
| Sep 30, 2021 | 194.44 Mn |
Shutterstock Revenue 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=revenue&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();