Bowman Consulting (BWMN) EV to EBITDA (2021 - 2026)
Bowman Consulting's (BWMN) EV to EBITDA was 10.18 for the quarter ended Jun 30, 2026, down 14.4% from 11.90 a year earlier but up 2.9% from the prior quarter.
Powered by 
Analysis
Bowman Consulting (BWMN) EV to EBITDA (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bowman Consulting's EV to EBITDA came in at 9.36, down 16.2% year-over-year; for the year ended Dec 31, 2025, it came in at 11.79, down 26.9% from the prior year.
- By year, EV to EBITDA came in at 16.14 in the year ended Dec 31, 2024 (-31.0%), 23.40 in the year ended Dec 31, 2023 (+81.1%), 12.92 in the year ended Dec 31, 2022 (-39.4%) and 21.32 in the year ended Dec 31, 2021.
- Five-year quarterly EV to EBITDA spans a low of 9.89 in the quarter ended Mar 31, 2026 and a high of 32.18 in the quarter ended Mar 31, 2024.
- Year over year, EV to EBITDA has now declined in each of the last seven quarters, with an average decline of 28.3% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Jun 30, 2023 (growth of 131.2%); the low point was the quarter ended Mar 31, 2025 (a decline of 62.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 9.89 (quarter ended Mar 31, 2026), 11.79 (quarter ended Dec 31, 2025) and 16.06 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.12 Bn | 106.40 Bn | 6.13 Bn |
| 2 | Cintas | 85.33 Bn | 84.41 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.50 Bn | 32.69 Bn | 1.07 Bn |
| 4 | APi | 17.25 Bn | 14.29 Bn | 703.00 Mn |
| 5 | Rollins | 15.87 Bn | 15.42 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.79 Bn | 13.54 Bn | 417.00 Mn |
| 7 | Aramark | 14.61 Bn | 12.56 Bn | 430.34 Mn |
| 8 | Gartner | 14.27 Bn | 7.96 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.73 Bn | 4.24 Bn | - |
| 10 | Bowman Consulting | 703.27 Mn | 653.45 Mn | 77.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.99 |
| Mar 31, 2026 | 9.70 |
| Dec 31, 2025 | 11.52 |
| Sep 30, 2025 | 15.72 |
| Jun 30, 2025 | 11.73 |
| Mar 31, 2025 | 11.73 |
| Dec 31, 2024 | 15.85 |
| Sep 30, 2024 | 20.70 |
| Jun 30, 2024 | 27.75 |
| Mar 31, 2024 | 31.01 |
| Dec 31, 2023 | 22.61 |
| Sep 30, 2023 | 18.84 |
| Jun 30, 2023 | 23.92 |
| Mar 31, 2023 | 20.15 |
| Dec 31, 2022 | 12.73 |
| Sep 30, 2022 | 12.74 |
| Jun 30, 2022 | 10.64 |
| Mar 31, 2022 | 16.20 |
| Dec 31, 2021 | 21.07 |
| Sep 30, 2021 | 10.29 |
API Access
Bowman Consulting 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=BWMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BWMN", "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=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();