Shutterstock (SSTK) Accumulated Expenses (2011 - 2026)
Shutterstock's Accumulated Expenses came in at $104.23 million for Q2 2026, down 14.2% from $121.45 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Shutterstock (SSTK) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Shutterstock's Accumulated Expenses was $129.95 million, up 2.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $126.64 million in FY2024 (-3.7%), $131.44 million in FY2023 (+47.0%), $89.39 million in FY2022 (-10.2%) and $99.53 million in FY2021 (+46.6%).
- The five-year range for quarterly Accumulated Expenses is $72.8 million (Q1 2023) to $131.44 million (Q4 2023).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 1.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 54.9%), and the weakest in Q3 2022 (a decline of 15.1%).
- Business Quant data shows SSTK's Accumulated Expenses at $103.63 million (Q1 2026), $129.95 million (Q4 2025) and $122.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn |
| 10 | Shutterstock | 162.78 Mn | -476.73 Mn | 128.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.23 Mn |
| Mar 31, 2026 | 103.63 Mn |
| Dec 31, 2025 | 129.95 Mn |
| Sep 30, 2025 | 122.74 Mn |
| Jun 30, 2025 | 121.45 Mn |
| Mar 31, 2025 | 107.88 Mn |
| Dec 31, 2024 | 126.64 Mn |
| Sep 30, 2024 | 119.40 Mn |
| Jun 30, 2024 | 96.91 Mn |
| Mar 31, 2024 | 99.21 Mn |
| Dec 31, 2023 | 131.44 Mn |
| Sep 30, 2023 | 123.83 Mn |
| Jun 30, 2023 | 112.23 Mn |
| Mar 31, 2023 | 72.80 Mn |
| Dec 31, 2022 | 89.39 Mn |
| Sep 30, 2022 | 80.70 Mn |
| Jun 30, 2022 | 84.55 Mn |
| Mar 31, 2022 | 74.13 Mn |
| Dec 31, 2021 | 99.53 Mn |
| Sep 30, 2021 | 95.04 Mn |
API Access
Shutterstock Accumulated 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=accumulated-expenses&ticker=SSTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();