Shutterstock (SSTK) Total Non-Current Liabilities (2011 - 2026)
Shutterstock's Total Non-Current Liabilities came in at $716.77 million for Q2 2026, down 7.5% from $775.16 million a year earlier and down 5.8% from the prior quarter.
Shutterstock (SSTK) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Shutterstock's Total Non-Current Liabilities was $763.42 million, down 0.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $770.42 million in FY2024 (+58.5%), $485.97 million in FY2023 (+14.7%), $423.81 million in FY2022 (+13.5%) and $373.53 million in FY2021 (+25.1%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 31.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 76.4%), and the weakest in Q2 2026 (a decline of 7.5%).
- Business Quant data shows SSTK's Total Non-Current Liabilities at $760.95 million (Q1 2026), $763.42 million (Q4 2025) and $769.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 172.58 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 122.20 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 313.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 41.94 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 5.02 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 6.29 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 37.96 Bn |
| 10 | Shutterstock | 109.19 Mn | -530.31 Mn | 128.01 Mn | 716.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 716.77 Mn |
| Mar 31, 2026 | 760.95 Mn |
| Dec 31, 2025 | 763.42 Mn |
| Sep 30, 2025 | 769.12 Mn |
| Jun 30, 2025 | 775.16 Mn |
| Mar 31, 2025 | 757.64 Mn |
| Dec 31, 2024 | 770.42 Mn |
| Sep 30, 2024 | 811.61 Mn |
| Jun 30, 2024 | 462.51 Mn |
| Mar 31, 2024 | 465.52 Mn |
| Dec 31, 2023 | 485.97 Mn |
| Sep 30, 2023 | 460.09 Mn |
| Jun 30, 2023 | 458.20 Mn |
| Mar 31, 2023 | 352.25 Mn |
| Dec 31, 2022 | 423.81 Mn |
| Sep 30, 2022 | 399.44 Mn |
| Jun 30, 2022 | 409.94 Mn |
| Mar 31, 2022 | 342.26 Mn |
| Dec 31, 2021 | 373.53 Mn |
| Sep 30, 2021 | 356.86 Mn |
Shutterstock Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();