Perdoceo Education (PRDO) EV to EBITDA (2009 - 2026)
Perdoceo Education's (PRDO) quarterly EV to EBITDA came in at 12.69 in Q2 2026, down 55.43% on a YoY basis from 28.48 in Q2 2025, and down 29.63% quarter-over-quarter from 18.03 in Q1 2026.
Perdoceo Education (PRDO) EV to EBITDA (2009 - 2026) Analysis & Trends
Perdoceo Education (PRDO) has reported EV to EBITDA for 18 consecutive years, with 12.69 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA fell 55.43% year-over-year to 12.69; the trailing twelve-month figure through Jun 2026 stood at 3.3 (down 58.23% YoY), and the FY2025 full-year result was 3.15, down 49.85% from the prior year.
- EV to EBITDA retreated to 12.69 in Q2 2026 per PRDO's latest filing, from 18.03 in the prior quarter.
- Across five years, EV to EBITDA topped out at 34.3 in Q4 2023 and bottomed at 4.72 in Q2 2023.
- Historically, EV to EBITDA has averaged 16.3 across 5 years, with a median of 16.04 in 2024.
- The sharpest annual moves came in 2024 and 2026: EV to EBITDA soared 237.03% in 2024, then plunged 55.43% in 2026.
- Over 5 years, EV to EBITDA stood at 18.33 in 2022, then surged by 87.15% to 34.3 in 2023, then fell by 9.96% to 30.88 in 2024, then sank by 47.64% to 16.17 in 2025, then slipped by 21.51% to 12.69 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 12.69, 18.03, and 16.17 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.64 Bn | 10.38 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.69 Bn | 6.29 Bn | -19,600.00 |
| 3 | Laureate Education | 5.06 Bn | 4.90 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.89 Bn | 3.68 Bn | 777.03 Mn |
| 5 | Covista | 4.19 Bn | 3.78 Bn | 284.63 Mn |
| 6 | Valvoline | 3.67 Bn | 3.58 Bn | 214.90 Mn |
| 7 | Bright Horizons Family Solutions | 3.28 Bn | 3.11 Bn | 188.96 Mn |
| 8 | Stride | 3.26 Bn | 2.30 Bn | 217.28 Mn |
| 9 | TAL Education | 2.28 Bn | -596.06 Mn | 438.20 Mn |
| 10 | Perdoceo Education | 1.97 Bn | 661.48 Mn | 162.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.69 |
| Mar 31, 2026 | 18.03 |
| Dec 31, 2025 | 16.17 |
| Sep 30, 2025 | 24.84 |
| Jun 30, 2025 | 28.48 |
| Mar 31, 2025 | 20.07 |
| Dec 31, 2024 | 30.88 |
| Sep 30, 2024 | 16.50 |
| Jun 30, 2024 | 15.90 |
| Mar 31, 2024 | 11.01 |
| Dec 31, 2023 | 34.30 |
| Sep 30, 2023 | 12.05 |
| Jun 30, 2023 | 4.72 |
| Mar 31, 2023 | 8.91 |
| Dec 31, 2022 | 18.33 |
| Sep 30, 2022 | 5.67 |
| Jun 30, 2022 | 8.29 |
| Mar 31, 2022 | 6.64 |
| Dec 31, 2021 | 8.94 |
| Sep 30, 2021 | 6.85 |
Perdoceo Education 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=PRDO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PRDO", "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=PRDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();