Blusky Ai (BSAI) Change in Receivables (2015 - 2023)
Blusky Ai (BSAI) posted Change in Receivables of -$91.00 for Q1 2023, compared with $5,792 a year earlier.
Analysis
Blusky Ai (BSAI) Change in Receivables (2015 - 2023) Analysis & Trends
For FY2021, Blusky Ai's Change in Receivables came in at $735.00.
- In prior years, Blusky Ai's Change in Receivables was -$9,222 in FY2020, $14,990 in FY2019, -$16,640 in FY2018 and $17,368 in FY2017.
- Quarterly Change in Receivables has run from a low of -$94,670 in Q4 2019 to a high of $98,143 in Q3 2019 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 21.08 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 | 47.02 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 152.00 Mn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 1.19 Bn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 435.00 Mn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 37.66 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 77.53 Mn |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -91.00 |
| Sep 30, 2022 | -1,607.00 |
| Jun 30, 2022 | 4,038.00 |
| Mar 31, 2022 | 5,792.00 |
| Dec 31, 2021 | 1,564.00 |
| Sep 30, 2021 | -1,325.00 |
| Jun 30, 2021 | -5,672.00 |
| Mar 31, 2021 | 6,168.00 |
| Dec 31, 2020 | -202.00 |
| Sep 30, 2020 | -1,984.00 |
| Jun 30, 2020 | -6,290.00 |
| Mar 31, 2020 | -746.00 |
| Dec 31, 2019 | -94,670.00 |
| Sep 30, 2019 | 98,143.00 |
| Jun 30, 2019 | 542.00 |
| Mar 31, 2019 | 10,975.00 |
| Dec 31, 2018 | -21,265.00 |
| Sep 30, 2018 | 54.00 |
| Jun 30, 2018 | -3,364.00 |
| Mar 31, 2018 | 7,935.00 |
API Access
Blusky Ai Change in Receivables 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-receivables&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();