Niki BioSolutions (NIKI) Operating Expenses (2017 - 2024)
Niki BioSolutions' Operating Expenses was -$1.67 million in FY2025.
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Analysis
Niki BioSolutions (NIKI) Operating Expenses (2017 - 2024) Analysis & Trends
From FY2017 onward, Niki BioSolutions has reported Operating Expenses for 9 years.
- The FY2025 figure marks the highest annual Operating Expenses in data going back to FY2017.
- Per Business Quant data, Operating Expenses in earlier years was -$3.94 million in FY2024, -$11.16 million in FY2023, -$18.81 million in FY2022 and -$20.75 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.24 Bn | 1,099.82 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 614.68 Bn | 533.21 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.28 Bn | 476.39 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.01 Bn | 322.38 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.43 Bn | 262.42 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.03 Bn | 191.43 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.92 Bn | 165.12 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Niki BioSolutions | 1.20 Mn | 959,367.03 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2024 | -1.03 Mn |
| Aug 31, 2024 | 358,922.00 |
| Jun 30, 2020 | 307,270.00 |
| Dec 31, 2019 | 554,791.00 |
| Dec 31, 2018 | 398,899.00 |
| Dec 31, 2017 | 104,013.00 |
API Access
Niki BioSolutions Operating Expenses 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=operating-expenses&ticker=NIKI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NIKI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();