Bowman Consulting (BWMN) Assets (2020 - 2026)
Bowman Consulting (BWMN) posted Assets of $620.06 million for the quarter ended Jun 30, 2026, up 15.2% from $538.25 million a year earlier and up 5.1% from the prior quarter.
Bowman Consulting (BWMN) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Bowman Consulting's Assets came in at $579.68 million, up 14.6% from the prior year.
- Annual Assets has increased for five consecutive years, with a five-year compound annual growth rate of 55.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Bowman Consulting's Assets was $505.88 million in the year ended Dec 31, 2024 (+25.6%), $402.79 million in the year ended Dec 31, 2023 (+57.5%), $255.76 million in the year ended Dec 31, 2022 (+85.1%) and $138.17 million in the year ended Dec 31, 2021 (+117.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Assets in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Assets has increased in each of the last 19 quarters, with growth averaging 19.0% over the last eight quarters.
- The year-over-year growth in Assets has ranged between 2.7% (the quarter ended Sep 30, 2025) and 124.4% (the quarter ended Mar 31, 2022) over the last five years.
- According to Business Quant data, Assets for the three prior quarters was $589.77 million (quarter ended Mar 31, 2026), $579.68 million (quarter ended Dec 31, 2025) and $510.18 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 68.81 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 10.65 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 21.96 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 9.95 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 3.35 Bn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 3.12 Bn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 13.97 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 7.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | 14.56 Bn |
| 10 | Bowman Consulting | 702.86 Mn | 653.04 Mn | 77.74 Mn | 620.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 620.06 Mn |
| Mar 31, 2026 | 589.77 Mn |
| Dec 31, 2025 | 579.68 Mn |
| Sep 30, 2025 | 510.18 Mn |
| Jun 30, 2025 | 538.25 Mn |
| Mar 31, 2025 | 528.75 Mn |
| Dec 31, 2024 | 505.88 Mn |
| Sep 30, 2024 | 496.96 Mn |
| Jun 30, 2024 | 463.39 Mn |
| Mar 31, 2024 | 420.54 Mn |
| Dec 31, 2023 | 402.79 Mn |
| Sep 30, 2023 | 353.96 Mn |
| Jun 30, 2023 | 338.02 Mn |
| Mar 31, 2023 | 268.06 Mn |
| Dec 31, 2022 | 255.76 Mn |
| Sep 30, 2022 | 204.73 Mn |
| Jun 30, 2022 | 184.51 Mn |
| Mar 31, 2022 | 161.89 Mn |
| Dec 31, 2021 | 138.17 Mn |
| Sep 30, 2021 | 124.36 Mn |
Bowman Consulting Assets 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=assets&ticker=BWMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();