Bowman Consulting (BWMN) EBIT (2020 - 2026)
Bowman Consulting's EBIT was $8.13 million in the quarter ended Jun 30, 2026, down 10.1% from $9.04 million a year earlier.
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Analysis
Bowman Consulting (BWMN) EBIT (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bowman Consulting's EBIT was $17.72 million through Jun 30, 2026, up 47.3% year-over-year; for the year ended Dec 31, 2025, it came in at $19.66 million.
- EBIT shows a five-year compound annual growth rate of 60.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBIT was -$2 million in the year ended Dec 31, 2024, -$656,000 in the year ended Dec 31, 2023, $5.12 million in the year ended Dec 31, 2022 and $160,000 in the year ended Dec 31, 2021 (-91.4%).
- Quarterly EBIT has moved between -$3.69 million (the quarter ended Dec 31, 2023) and $9.04 million (the quarter ended Jun 30, 2025) over five years.
- Compared with a year earlier, EBIT was higher in 1 of the last four quarters, with growth averaging 3.1%.
- The best year-over-year quarter for EBIT over five years was the quarter ended Sep 30, 2022 (growth of 659.9%); the worst was the quarter ended Mar 31, 2026 (a decline of 90.8%).
- Per Business Quant data, BWMN's EBIT in the three quarters before the quarter ended Jun 30, 2026 was $104,000 (quarter ended Mar 31, 2026), $4.19 million (quarter ended Dec 31, 2025) and $5.29 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.20 Bn | 106.49 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 85.42 Bn | 84.50 Bn | 1.55 Bn | 711.89 Mn |
| 3 | Iron Mountain | 33.37 Bn | 32.56 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.22 Bn | 14.26 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 15.88 Bn | 15.43 Bn | 569.95 Mn | 201.36 Mn |
| 6 | UL Solutions | 14.71 Bn | 13.47 Bn | 417.00 Mn | 150.00 Mn |
| 7 | Aramark | 14.61 Bn | 12.55 Bn | 430.34 Mn | 215.59 Mn |
| 8 | Gartner | 14.28 Bn | 7.97 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.72 Bn | 4.24 Bn | - | - |
| 10 | Bowman Consulting | 703.27 Mn | 653.45 Mn | 77.74 Mn | 8.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.13 Mn |
| Mar 31, 2026 | 104,000.00 |
| Dec 31, 2025 | 4.19 Mn |
| Sep 30, 2025 | 5.29 Mn |
| Jun 30, 2025 | 9.04 Mn |
| Mar 31, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.41 Mn |
| Sep 30, 2024 | 433,000.00 |
| Jun 30, 2024 | -1.24 Mn |
| Mar 31, 2024 | -2.61 Mn |
| Dec 31, 2023 | -3.69 Mn |
| Sep 30, 2023 | 2.62 Mn |
| Jun 30, 2023 | -1.12 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 579,000.00 |
| Sep 30, 2022 | 2.22 Mn |
| Jun 30, 2022 | 484,000.00 |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | -1.31 Mn |
| Sep 30, 2021 | 292,000.00 |
API Access
Bowman Consulting EBIT 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=ebit&ticker=BWMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();