Bowman Consulting (BWMN) Goodwill (2020 - 2026)
Bowman Consulting's Goodwill came in at $174.52 million for the quarter ended Jun 30, 2026, up 28.4% from $135.93 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Bowman Consulting (BWMN) Goodwill (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Bowman Consulting's Goodwill was $173.58 million, up 28.9% from the prior year.
- Goodwill has increased in each of the last five years, with a five-year compound annual growth rate of 80.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Goodwill was $134.65 million in the year ended Dec 31, 2024 (+39.7%), $96.39 million in the year ended Dec 31, 2023 (+81.2%), $53.21 million in the year ended Dec 31, 2022 (+86.9%) and $28.47 million in the year ended Dec 31, 2021 (+210.2%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Goodwill in data going back to the quarter ended Dec 31, 2020.
- Year-over-year, Goodwill has increased for 19 consecutive quarters, with growth averaging 30.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Goodwill ran from 2.4% in the quarter ended Sep 30, 2025 to 309.8% in the quarter ended Sep 30, 2022.
- Business Quant data shows BWMN's Goodwill at $173.58 million (quarter ended Mar 31, 2026), $173.58 million (quarter ended Dec 31, 2025) and $137.35 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - |
| 10 | Bowman Consulting | 702.86 Mn | 653.04 Mn | 77.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.52 Mn |
| Mar 31, 2026 | 173.58 Mn |
| Dec 31, 2025 | 173.58 Mn |
| Sep 30, 2025 | 137.35 Mn |
| Jun 30, 2025 | 135.93 Mn |
| Mar 31, 2025 | 135.90 Mn |
| Dec 31, 2024 | 134.65 Mn |
| Sep 30, 2024 | 134.08 Mn |
| Jun 30, 2024 | 123.59 Mn |
| Mar 31, 2024 | 102.54 Mn |
| Dec 31, 2023 | 96.39 Mn |
| Sep 30, 2023 | 75.73 Mn |
| Jun 30, 2023 | 77.11 Mn |
| Mar 31, 2023 | 53.08 Mn |
| Dec 31, 2022 | 53.21 Mn |
| Sep 30, 2022 | 55.26 Mn |
| Jun 30, 2022 | 39.61 Mn |
| Mar 31, 2022 | 29.15 Mn |
| Dec 31, 2021 | 28.47 Mn |
| Sep 30, 2021 | 13.48 Mn |
API Access
Bowman Consulting Goodwill 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=goodwill&ticker=BWMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();