Shutterstock (SSTK) Operating Leases (2019 - 2026)
Shutterstock's (SSTK) quarterly Operating Leases came in at $13.5 million in Q2 2026, down 35.03% year-over-year from $20.8 million in Q2 2025, and down 11.87% quarter-over-quarter from $15.3 million in Q1 2026.
Shutterstock (SSTK) Operating Leases (2019 - 2026) Analysis & Trends
Shutterstock (SSTK) has reported Operating Leases for 8 consecutive years, with $13.5 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases fell 35.03% year-over-year to $13.5 million in Q2 2026; TTM through Jun 2026 was $13.5 million, a 35.03% decrease from a year earlier, with the FY2025 full-year figure at $17.2 million, down 47.87% from the prior year.
- Operating Leases was $13.5 million for Q2 2026 at Shutterstock, down from $15.3 million in the prior quarter.
- Over five years, Operating Leases peaked at $44.5 million in Q4 2022 and troughed at $13.5 million in Q2 2026.
- A 5-year average of $28.4 million and a median of $30.1 million in 2023 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases slipped 1.78% in 2022 and tumbled 47.87% in 2025, its largest moves.
- Over 5 years, Operating Leases stood at $44.5 million in 2022, then declined by 13.57% to $38.5 million in 2023, then fell by 14.03% to $33.1 million in 2024, then plunged by 47.87% to $17.2 million in 2025, then decreased by 21.62% to $13.5 million in 2026.
- The last three Operating Leases figures came in at $13.5 million (Q2 2026), $15.3 million (Q1 2026), and $17.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - |
| 10 | Shutterstock | 167.10 Mn | 33.90 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 | 33.08 Mn |
| Sep 30, 2024 | 24.74 Mn |
| Jun 30, 2024 | 26.43 Mn |
| Mar 31, 2024 | 28.75 Mn |
| Dec 31, 2023 | 38.48 Mn |
| Sep 30, 2023 | 31.45 Mn |
| Jun 30, 2023 | 33.38 Mn |
| Mar 31, 2023 | 34.02 Mn |
| Dec 31, 2022 | 44.52 Mn |
| Sep 30, 2022 | 35.87 Mn |
| Jun 30, 2022 | 37.40 Mn |
| Mar 31, 2022 | 35.86 Mn |
| Dec 31, 2021 | 45.33 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();