Shutterstock (SSTK) Operating Leases (2019 - 2026)
Shutterstock's Operating Leases was $13.52 million in Q2 2026, down 35.0% from $20.81 million a year earlier and down 11.9% from the prior quarter.
Shutterstock (SSTK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Shutterstock came in at $17.25 million, down 26.2% from FY2024.
- Operating Leases has now declined for six consecutive years, with a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In earlier years, Operating Leases was $23.37 million in FY2024 (-20.5%), $29.4 million in FY2023 (-17.4%), $35.61 million in FY2022 (-3.7%) and $36.97 million in FY2021 (-11.2%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has declined for 26 straight quarters, with an average decline of 25.1% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 3.3% (Q2 2022) and 35.0% (Q2 2026) over the last five years.
- Per Business Quant data, SSTK's Operating Leases in the three quarters before Q2 2026 was $15.34 million (Q1 2026), $17.25 million (Q4 2025) and $19.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | Shutterstock | 109.19 Mn | -530.31 Mn | 128.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.52 Mn |
| Mar 31, 2026 | 15.34 Mn |
| Dec 31, 2025 | 17.25 Mn |
| Sep 30, 2025 | 19.13 Mn |
| Jun 30, 2025 | 20.81 Mn |
| Mar 31, 2025 | 21.71 Mn |
| Dec 31, 2024 | 23.37 Mn |
| Sep 30, 2024 | 24.74 Mn |
| Jun 30, 2024 | 26.43 Mn |
| Mar 31, 2024 | 28.75 Mn |
| Dec 31, 2023 | 29.40 Mn |
| Sep 30, 2023 | 31.45 Mn |
| Jun 30, 2023 | 33.38 Mn |
| Mar 31, 2023 | 34.02 Mn |
| Dec 31, 2022 | 35.61 Mn |
| Sep 30, 2022 | 35.87 Mn |
| Jun 30, 2022 | 37.40 Mn |
| Mar 31, 2022 | 35.86 Mn |
| Dec 31, 2021 | 36.97 Mn |
| Sep 30, 2021 | 38.21 Mn |
Shutterstock Operating Leases 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-leases&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();