Lincoln Educational Services (LINC) Price to Earnings (2010 - 2026)
Lincoln Educational Services' (LINC) quarterly Price to Earnings came in at 813.43 in Q2 2026, up 73.41% year-over-year from 469.09 in Q2 2025, and up 174.79% quarter-over-quarter from 296.02 in Q1 2026.
Lincoln Educational Services (LINC) Price to Earnings (2010 - 2026) Analysis & Trends
Lincoln Educational Services (LINC) has reported Price to Earnings for 17 consecutive years, with 813.43 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings rose 73.41% year-over-year to 813.43 in Q2 2026; TTM through Jun 2026 was 69.42, a 14.69% increase from a year earlier, with the FY2025 full-year figure at 38.19, down 41.31% from the prior year.
- Price to Earnings was 813.43 for Q2 2026 at Lincoln Educational Services, up from 296.02 in the prior quarter.
- Over five years, Price to Earnings peaked at 813.43 in Q2 2026 and troughed at 6090.94 in Q1 2022.
- A 5-year average of 654.89 and a median of 53.25 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings sank 14885.45% in 2022 and soared 192.79% in 2023, its largest moves.
- Over 5 years, Price to Earnings stood at 17.84 in 2022, then jumped by 159.8% to 46.36 in 2023, then soared by 133.83% to 108.39 in 2024, then plunged by 44.52% to 60.14 in 2025, then jumped by 1252.67% to 813.43 in 2026.
- The last three Price to Earnings figures came in at 813.43 (Q2 2026), 296.02 (Q1 2026), and 60.14 (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 | Lincoln Educational Services | 764.19 Mn | 720.01 Mn | 82.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 813.43 |
| Mar 31, 2026 | 296.02 |
| Dec 31, 2025 | 60.14 |
| Sep 30, 2025 | 195.62 |
| Jun 30, 2025 | 469.09 |
| Mar 31, 2025 | 257.91 |
| Dec 31, 2024 | 108.39 |
| Sep 30, 2024 | 95.08 |
| Jun 30, 2024 | -547.63 |
| Mar 31, 2024 | -1,517.82 |
| Dec 31, 2023 | 46.36 |
| Sep 30, 2023 | 129.07 |
| Jun 30, 2023 | 12.26 |
| Mar 31, 2023 | -2,401.57 |
| Dec 31, 2022 | 17.84 |
| Sep 30, 2022 | 44.08 |
| Jun 30, 2022 | -3,775.35 |
| Mar 31, 2022 | -6,090.94 |
| Dec 31, 2021 | 8.52 |
| Sep 30, 2021 | 51.06 |
Lincoln Educational Services 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=LINC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "LINC", "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=LINC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();