Definitive Healthcare (DH) EV to EBITDA (2021 - 2023)
Definitive Healthcare's (DH) EV to EBITDA stood at 76.65 in Q2 2023, down 44.5% from 138.16 a year earlier and down 13.0% from the prior quarter.
Definitive Healthcare (DH) EV to EBITDA (2021 - 2023) Analysis & Trends
On a TTM basis, Definitive Healthcare's EV to EBITDA came in at 18.10 as of Jun 30, 2023, down 82.6% year-over-year; for FY2022, it was 63.83, down 45.8% from FY2021.
- Across earlier years, EV to EBITDA came in at 117.82 in FY2021.
- Quarterly EV to EBITDA has ranged from 63.83 in Q4 2022 to 157.36 in Q3 2021 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for four consecutive quarters, with an average decline of 42.2% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at 88.06 (Q1 2023), 63.83 (Q4 2022) and 88.13 (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Definitive Healthcare | 98.21 Mn | -587.08 Mn | 40.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 76.65 |
| Mar 31, 2023 | 88.06 |
| Dec 31, 2022 | 63.83 |
| Sep 30, 2022 | 88.13 |
| Jun 30, 2022 | 138.16 |
| Mar 31, 2022 | 134.48 |
| Dec 31, 2021 | 117.82 |
| Sep 30, 2021 | 157.36 |
Definitive Healthcare 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=DH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "DH", "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=DH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();