Sarepta Therapeutics (SRPT) Change in Inventory (2016 - 2026)
Sarepta Therapeutics (SRPT) reported Change in Inventory of -$39.91 million for Q2 2026, compared with $59.19 million a year earlier.
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Analysis
Sarepta Therapeutics (SRPT) Change in Inventory (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sarepta Therapeutics' Change in Inventory came in at $94.39 million, down 79.9% year-over-year; for FY2025, it came in at $301.09 million, down 23.8% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- By year, Change in Inventory came in at $395.17 million in FY2024 (+167.5%), $147.71 million in FY2023 (+190.9%), $50.78 million in FY2022 (-39.4%) and $83.77 million in FY2021 (+38.3%).
- The Q2 2026 figure ranks as the lowest quarterly Change in Inventory in data going back to Q4 2016.
- Year over year, Change in Inventory gained in four of the last six quarters, with growth averaging 57.5%.
- The high point for year-over-year Change in Inventory in five years was Q4 2023 (growth of 959.7%); the low point was Q1 2023 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.76 million (Q1 2026), -$18.48 million (Q4 2025) and $83.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.80 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 614.95 Bn | 533.47 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 505.05 Bn | 478.16 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 368.08 Bn | 322.46 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.32 Bn | 262.31 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.58 Bn | 235.26 Bn | 12.86 Bn | - |
| 7 | Amgen | 236.05 Bn | 191.45 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 190.61 Bn | 164.80 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 169.86 Bn | 116.50 Bn | 10.94 Bn | - |
| 10 | Sarepta Therapeutics | 2.00 Bn | -1.24 Bn | 251.87 Mn | -39.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.91 Mn |
| Mar 31, 2026 | 69.76 Mn |
| Dec 31, 2025 | -18.48 Mn |
| Sep 30, 2025 | 83.02 Mn |
| Jun 30, 2025 | 59.19 Mn |
| Mar 31, 2025 | 177.36 Mn |
| Dec 31, 2024 | 161.66 Mn |
| Sep 30, 2024 | 70.54 Mn |
| Jun 30, 2024 | 102.46 Mn |
| Mar 31, 2024 | 60.51 Mn |
| Dec 31, 2023 | 94.10 Mn |
| Sep 30, 2023 | 26.61 Mn |
| Jun 30, 2023 | 26.69 Mn |
| Mar 31, 2023 | 306,000.00 |
| Dec 31, 2022 | 8.88 Mn |
| Sep 30, 2022 | 26.54 Mn |
| Jun 30, 2022 | 10.68 Mn |
| Mar 31, 2022 | 4.69 Mn |
| Dec 31, 2021 | 27.26 Mn |
| Sep 30, 2021 | 19.71 Mn |
API Access
Sarepta Therapeutics Change in Inventory 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-inventory&ticker=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "SRPT", "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-inventory&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();