Universal Technical Institute (UTI) Price to Earnings (2010 - 2026)
Universal Technical Institute's (UTI) quarterly Price to Earnings came in at 1033.97 in Q2 2026, up 497.76% year-over-year from 172.97 in Q2 2025, and down 74.88% quarter-over-quarter from 4115.33 in Q1 2026.
Universal Technical Institute (UTI) Price to Earnings (2010 - 2026) Analysis & Trends
Universal Technical Institute (UTI) has reported Price to Earnings for 17 consecutive years, with 1033.97 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings rose 497.76% year-over-year to 1033.97 in Q2 2026; TTM through Jun 2026 was 68.64, a 134.83% increase from a year earlier, with the FY2025 full-year figure at 28.11, up 22.24% from the prior year.
- Price to Earnings was 1033.97 for Q2 2026 at Universal Technical Institute, down from 4115.33 in the prior quarter.
- Over five years, Price to Earnings peaked at 4115.33 in Q1 2026 and troughed at 531.48 in Q2 2022.
- A 5-year average of 346.6 and a median of 111.17 in 2024 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings tumbled 520.88% in 2022 and surged 3271.44% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 266.4 in 2022, then sank by 73.4% to 70.86 in 2023, then fell by 10.96% to 63.1 in 2024, then jumped by 77.83% to 112.2 in 2025, then soared by 821.53% to 1033.97 in 2026.
- The last three Price to Earnings figures came in at 1033.97 (Q2 2026), 4115.33 (Q1 2026), and 112.2 (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 | Universal Technical Institute | 1.12 Bn | 953.82 Mn | 100.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,033.97 |
| Mar 31, 2026 | 4,115.33 |
| Dec 31, 2025 | 112.20 |
| Sep 30, 2025 | 94.46 |
| Jun 30, 2025 | 172.97 |
| Mar 31, 2025 | 122.06 |
| Dec 31, 2024 | 63.10 |
| Sep 30, 2024 | 46.45 |
| Jun 30, 2024 | 169.80 |
| Mar 31, 2024 | 110.13 |
| Dec 31, 2023 | 70.86 |
| Sep 30, 2023 | 84.06 |
| Jun 30, 2023 | -132.85 |
| Mar 31, 2023 | 180.09 |
| Dec 31, 2022 | 266.40 |
| Sep 30, 2022 | 182.28 |
| Jun 30, 2022 | -531.48 |
| Mar 31, 2022 | 79.01 |
| Dec 31, 2021 | 19.10 |
| Sep 30, 2021 | 31.32 |
Universal Technical Institute 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=UTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "UTI", "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=UTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();