Lincoln Educational Services (LINC) Pension (2010 - 2023)
Lincoln Educational Services' (LINC) quarterly Pension came in at $622000.0 in Q3 2023, down 50.24% year-over-year from $1.2 million in Q3 2022, and down 2.51% quarter-over-quarter from $638000.0 in Q2 2023.
Lincoln Educational Services (LINC) Pension (2010 - 2023) Analysis & Trends
Lincoln Educational Services (LINC) has reported Pension for 14 consecutive years, with $622000.0 the latest figure, recorded in Q3 2023.
- On a quarterly basis, Pension fell 50.24% year-over-year to $622000.0 in Q3 2023; TTM through Sep 2023 was $622000.0, a 50.24% decrease from a year earlier, with the FY2022 full-year figure at $668000.0, down 58.43% from the prior year.
- Pension was $622000.0 for Q3 2023 at Lincoln Educational Services, down from $638000.0 in the prior quarter.
- Over five years, Pension peaked at $4.8 million in Q3 2021 and troughed at $622000.0 in Q3 2023.
- A 5-year average of $2.9 million and a median of $3.8 million in 2020 frame the typical range for Pension.
- Across the five-year window, Pension advanced 28.75% in 2021 and sank 74.23% in 2022, its largest moves.
- Over 5 years, Pension stood at $4.0 million in 2019, then grew by 5.9% to $4.3 million in 2020, then plunged by 62.21% to $1.6 million in 2021, then tumbled by 58.43% to $668000.0 in 2022, then slipped by 6.89% to $622000.0 in 2023.
- The last three Pension figures came in at $622000.0 (Q3 2023), $638000.0 (Q2 2023), and $699000.0 (Q1 2023), 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 |
|---|---|
| Sep 30, 2023 | 622,000.00 |
| Jun 30, 2023 | 638,000.00 |
| Mar 31, 2023 | 699,000.00 |
| Dec 31, 2022 | 668,000.00 |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.51 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 4.85 Mn |
| Jun 30, 2021 | 4.65 Mn |
| Mar 31, 2021 | 4.45 Mn |
| Dec 31, 2020 | 4.25 Mn |
| Sep 30, 2020 | 3.77 Mn |
| Jun 30, 2020 | 3.85 Mn |
| Mar 31, 2020 | 3.93 Mn |
| Dec 31, 2019 | 4.02 Mn |
| Sep 30, 2019 | 4.15 Mn |
| Jun 30, 2019 | 4.19 Mn |
| Mar 31, 2019 | 4.23 Mn |
| Dec 31, 2018 | 4.27 Mn |
Lincoln Educational Services Pension 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=pension&ticker=LINC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=LINC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();