American Public Education (APEI) Price to Earnings (2009 - 2026)
American Public Education (APEI) posted Price to Earnings of 100.93 for Q2 2026, up 70.88% on a QoQ basis from 59.06 in Q1 2026, and up 105.94% year-over-year from 49.01 in Q2 2025.
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Analysis
American Public Education (APEI) Price to Earnings (2009 - 2026) Analysis & Trends
American Public Education has reported Price to Earnings for 18 years, with the latest figure at 100.93 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 105.94% year-over-year to 100.93 in Q2 2026; TTM through Jun 2026 was 21.6, a 23.95% decrease from a year earlier, with the FY2025 full-year figure at 27.08, down 28.73% from the prior year.
- Price to Earnings was 100.93 for Q2 2026 at American Public Education, up from 59.06 in the prior quarter.
- The five-year high for Price to Earnings was 357.37 in Q3 2024, with the low at 1698.01 in Q2 2025.
- Average Price to Earnings over 5 years is 80.65, with a median of 6.6 recorded in 2023.
- The largest YoY upside for Price to Earnings was 2058.28% in 2024 against a maximum downside of 16660.62% in 2024.
- Over 5 years, Price to Earnings stood at 35.27 in 2022, then surged by 141.97% to 14.8 in 2023, then surged by 124.31% to 33.21 in 2024, then jumped by 63.64% to 54.34 in 2025, then surged by 85.72% to 100.93 in 2026.
- The last three Price to Earnings figures came in at 100.93 (Q2 2026), 59.06 (Q1 2026), and 54.34 (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.93 |
| Mar 31, 2026 | 59.06 |
| Dec 31, 2025 | 54.34 |
| Sep 30, 2025 | 128.35 |
| Jun 30, 2025 | -1,698.01 |
| Mar 31, 2025 | 53.96 |
| Dec 31, 2024 | 33.21 |
| Sep 30, 2024 | 357.37 |
| Jun 30, 2024 | -267.79 |
| Mar 31, 2024 | -244.86 |
| Dec 31, 2023 | 14.80 |
| Sep 30, 2023 | -18.25 |
| Jun 30, 2023 | -1.60 |
| Mar 31, 2023 | -14.29 |
| Dec 31, 2022 | -35.27 |
| Sep 30, 2022 | -45.90 |
| Jun 30, 2022 | -2.77 |
| Mar 31, 2022 | 75.10 |
| Dec 31, 2021 | 44.37 |
| Sep 30, 2021 | -1,794.52 |
API Access
American Public Education Price to Earnings 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=price-to-earnings&ticker=APEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=APEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();