60 Degrees Pharmaceuticals (SXTP) Amortizatization of Intangibles (2022 - 2026)
60 Degrees Pharmaceuticals (SXTP) recorded Amortizatization of Intangibles of $13,860 in Q2 2026, up 32.7% from $10,442 a year earlier and up 51.2% from the prior quarter.
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Analysis
60 Degrees Pharmaceuticals (SXTP) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
On a TTM basis, 60 Degrees Pharmaceuticals' Amortizatization of Intangibles came in at $42,028 as of Jun 30, 2026, up 1.6% year-over-year; for FY2025, it came in at $39,548, up 2.7% from FY2024.
- Annual Amortizatization of Intangibles has increased for three straight years, with a three-year compound annual growth rate of 97.7% (FY2022 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $38,502 in FY2024 (+32.1%), $29,157 in FY2023 (+469.7%) and $5,118 in FY2022.
- The Q2 2026 figure is the highest quarterly Amortizatization of Intangibles in data going back to Q2 2022.
- On a year-over-year basis, Amortizatization of Intangibles rose in six of the last eight quarters, with growth averaging 12.7%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 532.0% in Q2 2023, against a decline of 20.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $9,165 (Q1 2026), $8,398 (Q4 2025) and $10,605 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | 60 Degrees Pharmaceuticals | 3.70 Mn | 2.59 Mn | 56,798.00 | 13,860.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,860.00 |
| Mar 31, 2026 | 9,165.00 |
| Dec 31, 2025 | 8,398.00 |
| Sep 30, 2025 | 10,605.00 |
| Jun 30, 2025 | 10,442.00 |
| Mar 31, 2025 | 10,103.00 |
| Dec 31, 2024 | 10,498.00 |
| Sep 30, 2024 | 10,325.00 |
| Jun 30, 2024 | 9,472.00 |
| Mar 31, 2024 | 8,207.00 |
| Dec 31, 2023 | 8,551.00 |
| Sep 30, 2023 | 7,414.00 |
| Jun 30, 2023 | 6,017.00 |
| Mar 31, 2023 | 7,175.00 |
| Dec 31, 2022 | 2,335.00 |
| Sep 30, 2022 | 1,831.00 |
| Jun 30, 2022 | 952.00 |
API Access
60 Degrees Pharmaceuticals Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=SXTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SXTP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=SXTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();