Bgsf (BGSF) Amortizatization of Intangibles (2015 - 2026)
Bgsf's Amortizatization of Intangibles was $155,000 in Q2 2026, down 32.9% from $231,000 a year earlier but up 16.5% from the prior quarter.
Bgsf (BGSF) Amortizatization of Intangibles (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bgsf's Amortizatization of Intangibles was $1.2 million through Jun 28, 2026, up 44.4% year-over-year; for FY2025, it was $1.44 million, up 21.6% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $1.18 million in FY2024 (+4.6%), $1.13 million in FY2023 (-67.3%), $3.46 million in FY2022 (+14.7%) and $3.01 million in FY2021 (-26.6%).
- Quarterly Amortizatization of Intangibles has moved between $1,630 (Q1 2023) and $1.91 million (Q1 2024) over five years.
- Compared with a year earlier, Amortizatization of Intangibles has declined for three straight quarters, with an average decline of 52.5% over the last six quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q4 2021 (growth of 5.4%); the worst was Q1 2025 (a decline of 84.4%).
- Per Business Quant data, BGSF's Amortizatization of Intangibles in the three quarters before Q2 2026 was $133,000 (Q1 2026), $112,000 (Q4 2025) and $795,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 49.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 86.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 68.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Bgsf | 55.97 Mn | -41.34 Mn | 7.92 Mn | 155,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 155,000.00 |
| Mar 29, 2026 | 133,000.00 |
| Dec 28, 2025 | 112,000.00 |
| Sep 28, 2025 | 795,000.00 |
| Jun 29, 2025 | 231,000.00 |
| Mar 30, 2025 | 299,000.00 |
| Dec 29, 2024 | 296,000.00 |
| Sep 29, 2024 | 1,806.00 |
| Jun 30, 2024 | 1,891.00 |
| Mar 31, 2024 | 1.91 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Oct 1, 2023 | 1,927.00 |
| Jul 2, 2023 | 1,829.00 |
| Apr 2, 2023 | 1,630.00 |
| Sep 25, 2022 | 994.00 |
| Jun 26, 2022 | 770.00 |
| Mar 27, 2022 | 739.00 |
| Dec 26, 2021 | 661,498.00 |
| Sep 26, 2021 | 1.00 Mn |
| Jun 27, 2021 | 693,091.00 |
Bgsf Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=BGSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "BGSF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();