Blusky Ai (BSAI) Accumulated Depreciation (2011 - 2024)
Blusky Ai (BSAI) recorded Accumulated Depreciation of $24,099 in Q2 2024, up 3.1% from $23,372 a year earlier and up 0.8% from the prior quarter.
Analysis
Blusky Ai (BSAI) Accumulated Depreciation (2011 - 2024) Analysis & Trends
At the end of FY2023, Blusky Ai reported Accumulated Depreciation of $23,737, up 3.2% from FY2022.
- Annual Accumulated Depreciation has a five-year compound annual growth rate of -62.2% (FY2018 to FY2023).
- Across earlier years, Accumulated Depreciation came in at $23,012 in FY2022 (+3.3%), $22,287 in FY2021 (-99.3%), $3.36 million in FY2020 (+3.7%) and $3.24 million in FY2019 (+5.7%).
- The Q2 2024 figure is the highest quarterly Accumulated Depreciation since Q3 2022.
- On a year-over-year basis, Accumulated Depreciation has increased for three consecutive quarters, with an average decline of 40.8% over the last seven quarters.
- Peak year-over-year performance for Accumulated Depreciation in the last five years was growth of 5.7% in Q4 2019, against a decline of 99.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $23,918 (Q1 2024), $23,737 (Q4 2023) and $23,555 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 24,099.00 |
| Mar 31, 2024 | 23,918.00 |
| Dec 31, 2023 | 23,737.00 |
| Sep 30, 2023 | 23,555.00 |
| Jun 30, 2023 | 23,372.00 |
| Mar 31, 2023 | 23,191.00 |
| Dec 31, 2022 | 23,012.00 |
| Sep 30, 2022 | 3.39 Mn |
| Jun 30, 2022 | 3.39 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 22,287.00 |
| Jun 30, 2021 | 3.42 Mn |
| Mar 31, 2021 | 3.39 Mn |
| Dec 31, 2020 | 3.36 Mn |
| Sep 30, 2020 | 3.31 Mn |
| Jun 30, 2020 | 3.26 Mn |
| Mar 31, 2020 | 3.25 Mn |
| Dec 31, 2019 | 3.24 Mn |
| Sep 30, 2019 | 3.19 Mn |
| Jun 30, 2019 | 3.16 Mn |
API Access
Blusky Ai Accumulated Depreciation 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=accumulated-depreciation&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "BSAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();