Blusky Ai (BSAI) Property, Plant & Equipment (Net) (2011 - 2024)
Blusky Ai's Property, Plant & Equipment (Net) was $2,713 in Q3 2024, down 21.1% from $3,440 a year earlier and down 6.3% from the prior quarter.
Blusky Ai (BSAI) Property, Plant & Equipment (Net) (2011 - 2024) Analysis & Trends
At the end of FY2023, Property, Plant & Equipment (Net) at Blusky Ai came in at $3,258, down 18.2% from FY2022.
- Property, Plant & Equipment (Net) has now declined for nine consecutive years, with a five-year compound annual growth rate of -65.5% (FY2018 to FY2023).
- In earlier years, Property, Plant & Equipment (Net) was $3,983 in FY2022 (-15.4%), $4,708 in FY2021 (-98.9%), $413,811 in FY2020 (-6.7%) and $443,348 in FY2019 (-33.2%).
- The Q3 2024 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2012.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for eight straight quarters, with an average decline of 49.0% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2022 (growth of 66.6%); the worst was Q3 2023 (a decline of 99.5%).
- Per Business Quant data, BSAI's Property, Plant & Equipment (Net) in the three quarters before Q3 2024 was $2,896 (Q2 2024), $3,077 (Q1 2024) and $3,258 (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 134.89 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 2.64 Bn |
| 10 | Blusky Ai | 258.32 Mn | 258.32 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 2,713.00 |
| Jun 30, 2024 | 2,896.00 |
| Mar 31, 2024 | 3,077.00 |
| Dec 31, 2023 | 3,258.00 |
| Sep 30, 2023 | 3,440.00 |
| Jun 30, 2023 | 3,623.00 |
| Mar 31, 2023 | 3,804.00 |
| Dec 31, 2022 | 3,983.00 |
| Sep 30, 2022 | 702,915.00 |
| Jun 30, 2022 | 451,880.00 |
| Mar 31, 2022 | 423,786.00 |
| Dec 31, 2021 | 4,708.00 |
| Sep 30, 2021 | 421,979.00 |
| Jun 30, 2021 | 415,123.00 |
| Mar 31, 2021 | 424,048.00 |
| Dec 31, 2020 | 413,811.00 |
| Sep 30, 2020 | 457,278.00 |
| Jun 30, 2020 | 537,522.00 |
| Mar 31, 2020 | 427,610.00 |
| Dec 31, 2019 | 443,348.00 |
Blusky Ai Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();