Zedge (ZDGE) EV to EBITDA (2016 - 2026)
Zedge's (ZDGE) quarterly EV to EBITDA came in at 30.54 in Q2 2026, down 61.73% on a YoY basis from 79.81 in Q2 2025, and up 396.72% quarter-over-quarter from 10.29 in Q1 2026.
Zedge (ZDGE) EV to EBITDA (2016 - 2026) Analysis & Trends
Zedge (ZDGE) has reported EV to EBITDA for 11 consecutive years, with 30.54 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA fell 61.73% year-over-year to 30.54; the trailing twelve-month figure through Apr 2026 stood at 20.26 (down 309.48% YoY), and the FY2025 full-year result was 11.33, down 331.14% from the prior year.
- EV to EBITDA improved to 30.54 in Q2 2026 per ZDGE's latest filing, from 10.29 in the prior quarter.
- Across five years, EV to EBITDA topped out at 79.81 in Q2 2025 and bottomed at 477.15 in Q3 2024.
- Historically, EV to EBITDA has averaged 26.41 across 5 years, with a median of 2.54 in 2024.
- The sharpest annual moves came in 2023 and 2024: EV to EBITDA soared 507.27% in 2023, then slumped 3145.28% in 2024.
- Over 5 years, EV to EBITDA stood at 59.51 in 2022, then soared by 142.34% to 25.19 in 2023, then tumbled by 301.41% to 50.74 in 2024, then surged by 130.9% to 15.68 in 2025, then surged by 94.79% to 30.54 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 30.54, 10.29, and 15.68 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - |
| 10 | Zedge | 47.76 Mn | 28.07 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 30.54 |
| Jan 31, 2026 | -10.29 |
| Oct 31, 2025 | 15.68 |
| Jul 31, 2025 | -51.20 |
| Apr 30, 2025 | 79.81 |
| Jan 31, 2025 | -7.92 |
| Oct 31, 2024 | -50.74 |
| Jul 31, 2024 | -477.15 |
| Apr 30, 2024 | -107.07 |
| Jan 31, 2024 | -2.67 |
| Oct 31, 2023 | 25.19 |
| Jul 31, 2023 | 47.04 |
| Apr 30, 2023 | -3.30 |
| Jan 31, 2023 | 21.26 |
| Oct 31, 2022 | -59.51 |
| Jul 31, 2022 | 7.75 |
| Apr 30, 2022 | 42.06 |
| Jan 31, 2022 | 25.13 |
| Oct 31, 2021 | 53.10 |
| Jul 31, 2021 | 80.06 |
Zedge EV to 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=ev-to-ebitda&ticker=ZDGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "ZDGE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=ZDGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();