Comscore (SCOR) Total Current Liabilities (2010 - 2026)
Comscore's Total Current Liabilities was $115.18 million in Q2 2026, down 17.6% from $139.79 million a year earlier and down 13.8% from the prior quarter.
Comscore (SCOR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Comscore came in at $122.89 million, down 6.4% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $131.3 million in FY2024 (-28.1%), $182.56 million in FY2023 (+10.6%), $165.09 million in FY2022 (-0.2%) and $165.37 million in FY2021 (-10.3%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q3 2012.
- Compared with a year earlier, Total Current Liabilities has declined for nine straight quarters, with an average decline of 14.7% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2023 (growth of 16.5%); the worst was Q4 2024 (a decline of 28.1%).
- Per Business Quant data, SCOR's Total Current Liabilities in the three quarters before Q2 2026 was $133.64 million (Q1 2026), $122.89 million (Q4 2025) and $141.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Comscore | 73.80 Mn | -24.28 Mn | 28.26 Mn | 115.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.18 Mn |
| Mar 31, 2026 | 133.64 Mn |
| Dec 31, 2025 | 122.89 Mn |
| Sep 30, 2025 | 141.60 Mn |
| Jun 30, 2025 | 139.79 Mn |
| Mar 31, 2025 | 133.93 Mn |
| Dec 31, 2024 | 131.30 Mn |
| Sep 30, 2024 | 144.16 Mn |
| Jun 30, 2024 | 174.77 Mn |
| Mar 31, 2024 | 177.30 Mn |
| Dec 31, 2023 | 182.56 Mn |
| Sep 30, 2023 | 178.87 Mn |
| Jun 30, 2023 | 178.36 Mn |
| Mar 31, 2023 | 167.51 Mn |
| Dec 31, 2022 | 165.09 Mn |
| Sep 30, 2022 | 155.64 Mn |
| Jun 30, 2022 | 153.15 Mn |
| Mar 31, 2022 | 170.93 Mn |
| Dec 31, 2021 | 165.37 Mn |
| Sep 30, 2021 | 170.17 Mn |
Comscore Total 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-current-liabilities&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SCOR", "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-current-liabilities&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();