Comscore (SCOR) Total Liabilities (2010 - 2026)
Comscore (SCOR) posted Total Liabilities of $238.06 million for Q2 2026, down 45.6% from $437.56 million a year earlier and down 19.3% from the prior quarter.
Comscore (SCOR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Comscore's Total Liabilities came in at $296.27 million, down 32.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- In prior years, Comscore's Total Liabilities was $438.51 million in FY2024 (+0.8%), $435.19 million in FY2023 (-0.3%), $436.42 million in FY2022 (-0.9%) and $440.3 million in FY2021 (-1.9%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q2 2017.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2025, with growth of 4.3%; the weakest was Q2 2026, with a decline of 45.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $295.18 million (Q1 2026), $296.27 million (Q4 2025) and $433.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Comscore | 73.80 Mn | -24.28 Mn | 28.26 Mn | 238.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.06 Mn |
| Mar 31, 2026 | 295.18 Mn |
| Dec 31, 2025 | 296.27 Mn |
| Sep 30, 2025 | 433.20 Mn |
| Jun 30, 2025 | 437.56 Mn |
| Mar 31, 2025 | 434.99 Mn |
| Dec 31, 2024 | 438.51 Mn |
| Sep 30, 2024 | 415.20 Mn |
| Jun 30, 2024 | 428.31 Mn |
| Mar 31, 2024 | 426.32 Mn |
| Dec 31, 2023 | 435.19 Mn |
| Sep 30, 2023 | 433.27 Mn |
| Jun 30, 2023 | 430.69 Mn |
| Mar 31, 2023 | 436.87 Mn |
| Dec 31, 2022 | 436.42 Mn |
| Sep 30, 2022 | 429.12 Mn |
| Jun 30, 2022 | 426.52 Mn |
| Mar 31, 2022 | 442.45 Mn |
| Dec 31, 2021 | 440.30 Mn |
| Sep 30, 2021 | 439.31 Mn |
Comscore Total 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-liabilities&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();