Comscore (SCOR) EBITDA (2010 - 2026)
Comscore (SCOR) recorded EBITDA of -$5.55 million in Q2 2026, compared with $4.82 million a year earlier.
Analysis
Comscore (SCOR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Comscore's EBITDA came in at $18.11 million as of Jun 30, 2026; for FY2025, it was $30.78 million.
- Annual EBITDA has a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at -$34.31 million in FY2024, -$48.59 million in FY2023, -$30.95 million in FY2022 and $11.97 million in FY2021 (-40.3%).
- The Q2 2026 figure is the lowest quarterly EBITDA since Q3 2024.
- On a year-over-year basis, EBITDA rose in three of the last four quarters, with an average decline of 2.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 774.5% in Q1 2023, against a decline of 52.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.06 million (Q1 2026), $13.28 million (Q4 2025) and $8.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Comscore | 73.80 Mn | -24.28 Mn | 28.26 Mn | -5.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.55 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 13.28 Mn |
| Sep 30, 2025 | 8.31 Mn |
| Jun 30, 2025 | 4.82 Mn |
| Mar 31, 2025 | 4.37 Mn |
| Dec 31, 2024 | 10.54 Mn |
| Sep 30, 2024 | -53.30 Mn |
| Jun 30, 2024 | 4.28 Mn |
| Mar 31, 2024 | 4.17 Mn |
| Dec 31, 2023 | -18.47 Mn |
| Sep 30, 2023 | 7.89 Mn |
| Jun 30, 2023 | -41.71 Mn |
| Mar 31, 2023 | 3.71 Mn |
| Dec 31, 2022 | 14.49 Mn |
| Sep 30, 2022 | -45.48 Mn |
| Jun 30, 2022 | -373,000.00 |
| Mar 31, 2022 | 424,000.00 |
| Dec 31, 2021 | 7.61 Mn |
| Sep 30, 2021 | 2.69 Mn |
API Access
Comscore EBITDA 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=ebitda&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();