Shutterstock (SSTK) Cash & Equivalents (2011 - 2026)
Shutterstock (SSTK) recorded Cash & Equivalents of $133.21 million in Q2 2026, up 14.4% from $116.41 million a year earlier but down 18.0% from the prior quarter.
Shutterstock (SSTK) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Shutterstock reported Cash & Equivalents of $178.24 million, up 60.1% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $111.3 million in FY2024 (+10.7%), $100.5 million in FY2023 (-12.8%), $115.2 million in FY2022 (-63.3%) and $314.02 million in FY2021 (-26.7%).
- Quarterly Cash & Equivalents has ranged from $71.81 million in Q1 2024 to $314.02 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 42.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 74.7% in Q3 2024, against a decline of 79.6% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $162.52 million (Q1 2026), $178.24 million (Q4 2025) and $165.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Shutterstock | 162.78 Mn | -476.73 Mn | 128.01 Mn | 133.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.21 Mn |
| Mar 31, 2026 | 162.52 Mn |
| Dec 31, 2025 | 178.24 Mn |
| Sep 30, 2025 | 165.54 Mn |
| Jun 30, 2025 | 116.41 Mn |
| Mar 31, 2025 | 112.23 Mn |
| Dec 31, 2024 | 111.30 Mn |
| Sep 30, 2024 | 131.39 Mn |
| Jun 30, 2024 | 74.87 Mn |
| Mar 31, 2024 | 71.81 Mn |
| Dec 31, 2023 | 100.50 Mn |
| Sep 30, 2023 | 75.23 Mn |
| Jun 30, 2023 | 87.15 Mn |
| Mar 31, 2023 | 95.83 Mn |
| Dec 31, 2022 | 115.20 Mn |
| Sep 30, 2022 | 76.24 Mn |
| Jun 30, 2022 | 84.05 Mn |
| Mar 31, 2022 | 258.11 Mn |
| Dec 31, 2021 | 314.02 Mn |
| Sep 30, 2021 | 300.58 Mn |
Shutterstock Cash & Equivalents 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=cash-and-equivalents&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();