Universal Technical Institute (UTI) EV to EBITDA (2010 - 2026)
Universal Technical Institute's (UTI) quarterly EV to EBITDA came in at 673.74 in Q2 2026, up 437.55% year-over-year from 125.34 in Q2 2025, and down 87.49% quarter-over-quarter from 5385.6 in Q1 2026.
Universal Technical Institute (UTI) EV to EBITDA (2010 - 2026) Analysis & Trends
Universal Technical Institute (UTI) has reported EV to EBITDA for 17 consecutive years, with 673.74 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 437.55% year-over-year to 673.74 in Q2 2026; TTM through Jun 2026 was 49.4, a 135.35% increase from a year earlier, with the FY2025 full-year figure at 19.2, up 58.54% from the prior year.
- EV to EBITDA was 673.74 for Q2 2026 at Universal Technical Institute, down from 5385.6 in the prior quarter.
- Over five years, EV to EBITDA peaked at 5385.6 in Q1 2026 and troughed at 12.96 in Q3 2023.
- A 5-year average of 393.47 and a median of 67.32 in 2024 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA slumped 67.84% in 2023 and soared 7095.14% in 2026, its largest moves.
- Over 5 years, EV to EBITDA stood at 14.86 in 2022, then surged by 47.84% to 21.96 in 2023, then soared by 103.1% to 44.61 in 2024, then surged by 82.16% to 81.26 in 2025, then soared by 729.13% to 673.74 in 2026.
- The last three EV to EBITDA figures came in at 673.74 (Q2 2026), 5385.6 (Q1 2026), and 81.26 (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 | 673.74 |
| Mar 31, 2026 | 5,385.60 |
| Dec 31, 2025 | 81.26 |
| Sep 30, 2025 | 64.14 |
| Jun 30, 2025 | 125.34 |
| Mar 31, 2025 | 74.85 |
| Dec 31, 2024 | 44.61 |
| Sep 30, 2024 | 27.41 |
| Jun 30, 2024 | 98.17 |
| Mar 31, 2024 | 66.25 |
| Dec 31, 2023 | 21.96 |
| Sep 30, 2023 | 12.96 |
| Jun 30, 2023 | 188.40 |
| Mar 31, 2023 | 21.99 |
| Dec 31, 2022 | 14.86 |
| Sep 30, 2022 | 25.50 |
| Jun 30, 2022 | 87.03 |
| Mar 31, 2022 | 68.38 |
| Dec 31, 2021 | 11.66 |
| Sep 30, 2021 | 6.90 |
Universal Technical Institute EV to EBITDA 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=ev-to-ebitda&ticker=UTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=UTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();