Niki BioSolutions (NIKI) Receivables (2018 - 2025)
Niki BioSolutions' Receivables was $89,281 in FY2024.
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Analysis
Niki BioSolutions (NIKI) Receivables (2018 - 2025) Analysis & Trends
From FY2018 onward, Niki BioSolutions has reported Receivables for 7 years.
- Receivables shows a five-year compound annual growth rate of -15.6% (FY2019 to FY2024).
- The FY2024 figure marks the lowest annual Receivables in data going back to FY2018.
- Per Business Quant data, Receivables in earlier years was $110,759 in FY2023 (-73.0%), $409,504 in FY2022 (-88.2%), $3.48 million in FY2021 and $136,397 in FY2020 (-34.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,138.33 Bn | 1,106.91 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 618.82 Bn | 537.35 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.36 Bn | 476.47 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 369.59 Bn | 323.96 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.57 Bn | 262.56 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.25 Bn | 234.94 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 237.35 Bn | 192.75 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 191.27 Bn | 165.47 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Niki BioSolutions | 1.05 Mn | 810,115.68 | - | 131,091.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 131,091.00 |
| Aug 31, 2025 | 100,613.00 |
| May 31, 2024 | 89,281.00 |
| Dec 31, 2023 | 69,984.00 |
| Jun 30, 2023 | 584,964.00 |
| Dec 31, 2022 | 379,178.00 |
| Jun 30, 2022 | 870,675.00 |
| Dec 31, 2021 | 126,476.00 |
| Jun 30, 2021 | 3.55 Mn |
| Dec 31, 2020 | 136,397.00 |
| Jun 30, 2020 | 541,696.00 |
| Dec 31, 2019 | 41,505.00 |
| Jun 30, 2019 | 58,367.00 |
| Dec 31, 2018 | 171,878.00 |
API Access
Niki BioSolutions 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=receivables&ticker=NIKI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "NIKI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=NIKI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();