American Public Education (APEI) EV to EBITDA (2009 - 2026)
American Public Education (APEI) posted EV to EBITDA of 56.45 for Q2 2026, up 47.87% on a QoQ basis from 38.18 in Q1 2026, and up 6.15% year-over-year from 53.18 in Q2 2025.
American Public Education (APEI) EV to EBITDA (2009 - 2026) Analysis & Trends
American Public Education has reported EV to EBITDA for 18 years, with the latest figure at 56.45 in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 6.15% year-over-year to 56.45 in Q2 2026; TTM through Jun 2026 was 11.96, a 43.88% increase from a year earlier, with the FY2025 full-year figure at 7.94, up 74.68% from the prior year.
- EV to EBITDA was 56.45 for Q2 2026 at American Public Education, up from 38.18 in the prior quarter.
- The five-year high for EV to EBITDA was 69.57 in Q2 2024, with the low at 392.12 in Q4 2022.
- Average EV to EBITDA over 5 years is 1.68, with a median of 18.07 recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: EV to EBITDA tumbled 2525.94% in 2022, then surged 8130.31% in 2024.
- Over 5 years, EV to EBITDA stood at 392.12 in 2022, then surged by 100.41% to 1.6 in 2023, then jumped by 546.31% to 10.36 in 2024, then jumped by 158.84% to 26.82 in 2025, then surged by 110.49% to 56.45 in 2026.
- The last three EV to EBITDA figures came in at 56.45 (Q2 2026), 38.18 (Q1 2026), and 26.82 (Q4 2025), per Business Quant data.
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 | American Public Education | 760.06 Mn | 537.26 Mn | 95.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.45 |
| Mar 31, 2026 | 38.18 |
| Dec 31, 2025 | 26.82 |
| Sep 30, 2025 | 53.67 |
| Jun 30, 2025 | 53.18 |
| Mar 31, 2025 | 17.56 |
| Dec 31, 2024 | 10.36 |
| Sep 30, 2024 | 23.97 |
| Jun 30, 2024 | 69.57 |
| Mar 31, 2024 | 18.59 |
| Dec 31, 2023 | 1.60 |
| Sep 30, 2023 | -10.40 |
| Jun 30, 2023 | 0.85 |
| Mar 31, 2023 | 6.20 |
| Dec 31, 2022 | -392.12 |
| Sep 30, 2022 | 12.50 |
| Jun 30, 2022 | -0.85 |
| Mar 31, 2022 | 44.15 |
| Dec 31, 2021 | 16.16 |
| Sep 30, 2021 | 267.55 |
American Public 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=APEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "APEI", "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=APEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();