Tutor Perini (TPC) EBITDA (2011 - 2026)
Tutor Perini (TPC) posted EBITDA of $127.99 million for Q2 2026, up 43.4% from $89.27 million a year earlier and up 81.1% from the prior quarter.
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Analysis
Tutor Perini (TPC) EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Tutor Perini was $313.25 million; for FY2025, it came in at $281.78 million.
- Annual EBITDA shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Tutor Perini's EBITDA was -$49.97 million in FY2024, -$69.37 million in FY2023, -$140.4 million in FY2022 and $345.04 million in FY2021 (-6.6%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2011.
- On a year-over-year basis, EBITDA increased in three of the last four quarters, with growth averaging 30.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2024, with growth of 326.9%; the weakest was Q3 2022, with a decline of 89.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $70.69 million (Q1 2026), $62.22 million (Q4 2025) and $52.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Tutor Perini | 4.12 Bn | 21.68 Mn | 211.28 Mn | 127.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.99 Mn |
| Mar 31, 2026 | 70.69 Mn |
| Dec 31, 2025 | 62.22 Mn |
| Sep 30, 2025 | 52.35 Mn |
| Jun 30, 2025 | 89.27 Mn |
| Mar 31, 2025 | 77.94 Mn |
| Dec 31, 2024 | -73.58 Mn |
| Sep 30, 2024 | -93.26 Mn |
| Jun 30, 2024 | 54.54 Mn |
| Mar 31, 2024 | 64.24 Mn |
| Dec 31, 2023 | -6.79 Mn |
| Sep 30, 2023 | -307,000.00 |
| Jun 30, 2023 | 13.78 Mn |
| Mar 31, 2023 | -70.49 Mn |
| Dec 31, 2022 | -86.19 Mn |
| Sep 30, 2022 | 9.59 Mn |
| Jun 30, 2022 | -71.33 Mn |
| Mar 31, 2022 | 11.23 Mn |
| Dec 31, 2021 | 83.24 Mn |
| Sep 30, 2021 | 83.06 Mn |
API Access
Tutor Perini 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=ebitda&ticker=TPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=TPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();