Bowman Consulting (BWMN) Change in Accured Expenses (2020 - 2026)
Bowman Consulting (BWMN) reported Change in Accured Expenses of -$8.44 million for the quarter ended Jun 30, 2026, compared with -$9.31 million a year earlier.
Bowman Consulting (BWMN) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bowman Consulting's Change in Accured Expenses came in at -$40.03 million; for the year ended Dec 31, 2025, it came in at -$33.68 million.
- By year, Change in Accured Expenses came in at $7.65 million in the year ended Dec 31, 2024 (-72.4%), $27.73 million in the year ended Dec 31, 2023 (+75.5%), $15.8 million in the year ended Dec 31, 2022 (+379.3%) and $3.3 million in the year ended Dec 31, 2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$41.01 million in the quarter ended Sep 30, 2025 and a high of $22.07 million in the quarter ended Sep 30, 2024.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 13.7%.
- The high point for year-over-year Change in Accured Expenses in five years was the quarter ended Mar 31, 2022 (growth of 324.1%); the low point was the quarter ended Dec 31, 2024 (a decline of 84.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $7.67 million (quarter ended Mar 31, 2026), $1.76 million (quarter ended Dec 31, 2025) and -$41.01 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.15 Bn | 111.43 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 89.82 Bn | 88.91 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.82 Bn | 32.02 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.12 Bn | 14.16 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.63 Bn | 16.17 Bn | 582.90 Mn | 32.99 Mn |
| 6 | Gartner | 15.31 Bn | 9.00 Bn | 1.19 Bn | 53.59 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Aramark | 13.88 Bn | 11.83 Bn | 430.34 Mn | -6.96 Mn |
| 9 | Rentokil Initial | 11.51 Bn | 5.03 Bn | - | - |
| 10 | Bowman Consulting | 704.15 Mn | 654.33 Mn | 77.74 Mn | -8.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.44 Mn |
| Mar 31, 2026 | 7.67 Mn |
| Dec 31, 2025 | 1.76 Mn |
| Sep 30, 2025 | -41.01 Mn |
| Jun 30, 2025 | -9.31 Mn |
| Mar 31, 2025 | 14.89 Mn |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 22.07 Mn |
| Jun 30, 2024 | -26.25 Mn |
| Mar 31, 2024 | 10.61 Mn |
| Dec 31, 2023 | 7.98 Mn |
| Sep 30, 2023 | 10.22 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 7.75 Mn |
| Dec 31, 2022 | 10.68 Mn |
| Sep 30, 2022 | -755,000.00 |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.96 Mn |
| Dec 31, 2021 | -2.84 Mn |
| Sep 30, 2021 | 368,000.00 |
Bowman Consulting Change in Accured Expenses 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=change-in-accured-expenses&ticker=BWMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=BWMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();