Comscore (SCOR) Accumulated Expenses (2010 - 2026)
Comscore's Accumulated Expenses was $43.43 million in Q2 2026, up 3.4% from $42.01 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Comscore (SCOR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Comscore came in at $44.88 million, up 28.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $35.01 million in FY2024 (+1.7%), $34.42 million in FY2023 (-20.7%), $43.39 million in FY2022 (-4.1%) and $45.26 million in FY2021 (-6.4%).
- Quarterly Accumulated Expenses has moved between $28.5 million (Q3 2024) and $45.26 million (Q4 2021) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 16.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2025 (growth of 45.3%); the worst was Q1 2022 (a decline of 24.2%).
- Per Business Quant data, SCOR's Accumulated Expenses in the three quarters before Q2 2026 was $45.1 million (Q1 2026), $44.88 million (Q4 2025) and $41.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Comscore | 71.06 Mn | -27.01 Mn | 28.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.43 Mn |
| Mar 31, 2026 | 45.10 Mn |
| Dec 31, 2025 | 44.88 Mn |
| Sep 30, 2025 | 41.41 Mn |
| Jun 30, 2025 | 42.01 Mn |
| Mar 31, 2025 | 37.20 Mn |
| Dec 31, 2024 | 35.01 Mn |
| Sep 30, 2024 | 28.50 Mn |
| Jun 30, 2024 | 30.70 Mn |
| Mar 31, 2024 | 32.86 Mn |
| Dec 31, 2023 | 34.42 Mn |
| Sep 30, 2023 | 35.78 Mn |
| Jun 30, 2023 | 38.24 Mn |
| Mar 31, 2023 | 36.29 Mn |
| Dec 31, 2022 | 43.39 Mn |
| Sep 30, 2022 | 41.64 Mn |
| Jun 30, 2022 | 37.29 Mn |
| Mar 31, 2022 | 38.39 Mn |
| Dec 31, 2021 | 45.26 Mn |
| Sep 30, 2021 | 40.08 Mn |
API Access
Comscore 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=SCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();