American Public Education (APEI) Enterprise Value (2009 - 2026)
American Public Education's Enterprise Value was $763.55 million in Q2 2026, up 104.4% from $373.58 million a year earlier but down 7.6% from the prior quarter.
American Public Education (APEI) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Public Education's Enterprise Value was $172.91 million through Jun 30, 2026; for FY2025, it came in at $508.66 million, up 128.0% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $223.12 million in FY2024 (+773.6%), $25.54 million in FY2023 (-75.1%), $102.73 million in FY2022 (-61.5%) and $266.65 million in FY2021 (+19.2%).
- Quarterly Enterprise Value has moved between -$66.59 million (Q3 2023) and $826.23 million (Q1 2026) over five years.
- Compared with a year earlier, Enterprise Value has increased for seven straight quarters, with growth averaging 283.0% over the last seven quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2024 (growth of 773.6%); the worst was Q4 2023 (a decline of 75.1%).
- Per Business Quant data, APEI's Enterprise Value in the three quarters before Q2 2026 was $826.23 million (Q1 2026), $508.66 million (Q4 2025) and $520.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 9.53 Bn | -1.61 Bn | 5,600.00 |
| 3 | TAL Education | 7.16 Bn | -5.83 Bn | 438.20 Mn |
| 4 | Laureate Education | 5.43 Bn | 4.73 Bn | 237.67 Mn |
| 5 | Graham Holdings | 5.11 Bn | 202.28 Mn | 392.03 Mn |
| 6 | Covista | 4.47 Bn | 3.59 Bn | 284.63 Mn |
| 7 | Valvoline | 4.04 Bn | 3.75 Bn | 214.90 Mn |
| 8 | Bright Horizons Family Solutions | 3.63 Bn | 3.07 Bn | 188.96 Mn |
| 9 | Stride | 3.55 Bn | 446.85 Mn | 217.28 Mn |
| 10 | American Public Education | 903.50 Mn | 90.06 Mn | 95.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 763.55 Mn |
| Mar 31, 2026 | 826.23 Mn |
| Dec 31, 2025 | 508.66 Mn |
| Sep 30, 2025 | 520.48 Mn |
| Jun 30, 2025 | 373.58 Mn |
| Mar 31, 2025 | 215.07 Mn |
| Dec 31, 2024 | 223.12 Mn |
| Sep 30, 2024 | 98.99 Mn |
| Jun 30, 2024 | 154.45 Mn |
| Mar 31, 2024 | 96.31 Mn |
| Dec 31, 2023 | 25.54 Mn |
| Sep 30, 2023 | -66.59 Mn |
| Jun 30, 2023 | -55.17 Mn |
| Mar 31, 2023 | -33.30 Mn |
| Dec 31, 2022 | 102.73 Mn |
| Sep 30, 2022 | -12.83 Mn |
| Jun 30, 2022 | 120.55 Mn |
| Mar 31, 2022 | 229.56 Mn |
| Dec 31, 2021 | 266.65 Mn |
| Sep 30, 2021 | 337.65 Mn |
American Public Education Enterprise Value 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=enterprise-value&ticker=APEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=APEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();