Trimble (TRMB) EV to EBITDA (2010 - 2026)
Trimble's (TRMB) EV to EBITDA was 14.39 for Q2 2027, down 44.0% from 25.70 a year earlier and down 18.7% from the prior quarter.
Trimble (TRMB) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Trimble's EV to EBITDA came in at 13.53, down 40.7% year-over-year; for FY2026, it was 23.02, down 4.0% from FY2025.
- By year, EV to EBITDA came in at 23.97 in FY2025, 14.13 in FY2023 (-5.8%) and 15.00 in FY2022 (-48.4%).
- The Q2 2027 figure ranks as the lowest quarterly EV to EBITDA since Q1 2021.
- Year over year, EV to EBITDA has now declined in each of the last three quarters, with growth averaging 4.8% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2027 came in at 17.70 (Q1 2027), 23.02 (Q4 2026) and 25.25 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.70 Bn | 21.94 Bn | 695.95 Mn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn |
| 10 | Procore Technologies | 11.50 Bn | 8.87 Bn | 323.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 15.53 |
| Jul 3, 2026 | 14.39 |
| Apr 3, 2026 | 17.70 |
| Jan 2, 2026 | 23.02 |
| Oct 3, 2025 | 25.25 |
| Jul 4, 2025 | 25.70 |
| Apr 4, 2025 | 19.66 |
| Jan 3, 2025 | 23.97 |
| Sep 27, 2024 | 20.60 |
| Jun 28, 2024 | 16.72 |
| Mar 29, 2024 | 17.82 |
| Dec 29, 2023 | 14.13 |
| Sep 29, 2023 | 15.82 |
| Jun 30, 2023 | 17.25 |
| Mar 31, 2023 | 17.11 |
| Dec 30, 2022 | 17.89 |
| Sep 30, 2022 | 18.31 |
| Jul 1, 2022 | 18.87 |
| Apr 1, 2022 | 23.62 |
| Dec 31, 2021 | 29.09 |
Trimble 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=TRMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TRMB", "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=TRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();