Powercompute (PWCM) Long-Term Debt Repayments (2017 - 2026)
Powercompute (PWCM) recorded Long-Term Debt Repayments of $230,706 in Q2 2026, up 5.9% from $217,787 a year earlier and unchanged from the prior quarter.
Powercompute (PWCM) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a TTM basis, Powercompute's Long-Term Debt Repayments came in at $784,559 as of Jun 30, 2026, up 23.3% year-over-year; for FY2025, it came in at $734,030, up 3.5% from FY2024.
- Annual Long-Term Debt Repayments has increased for five straight years, with a five-year compound annual growth rate of 34.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $709,491 in FY2024 (+13.6%), $624,481 in FY2023 (+108.8%), $299,033 in FY2022 (+35.7%) and $220,363 in FY2021 (+32.9%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q2 2024.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last eight quarters, with growth averaging 17.5%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 232.1% in Q4 2021, against a decline of 55.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $230,700 (Q1 2026), $145,907 (Q4 2025) and $177,246 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.23 Bn | 8.45 Bn | - | 744.00 Mn |
| 2 | Block | 46.85 Bn | 18.15 Bn | 3.17 Bn | 1.67 Bn |
| 3 | Coinbase Global | 46.71 Bn | 3.52 Bn | - | - |
| 4 | Corpay | 26.70 Bn | 16.59 Bn | - | 5.94 Bn |
| 5 | Fiserv | 25.72 Bn | 22.40 Bn | 2.90 Bn | 2.13 Bn |
| 6 | Global Payments | 22.62 Bn | 412.61 Mn | 2.03 Bn | 4.44 Bn |
| 7 | Guidewire Software | 15.37 Bn | 11.94 Bn | 269.68 Mn | - |
| 8 | Bitmine Immersion Technologies | 13.22 Bn | 10.60 Bn | 40.81 Mn | - |
| 9 | Chime Financial | 11.55 Bn | 7.34 Bn | 594.87 Mn | - |
| 10 | Powercompute | 560,031.99 | -2.95 Mn | 545,311.00 | 230,706.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230,706.00 |
| Mar 31, 2026 | 230,700.00 |
| Dec 31, 2025 | 145,907.00 |
| Sep 30, 2025 | 177,246.00 |
| Jun 30, 2025 | 217,787.00 |
| Mar 31, 2025 | 193,090.00 |
| Dec 31, 2024 | 162,469.00 |
| Sep 30, 2024 | 63,189.00 |
| Jun 30, 2024 | 241,916.00 |
| Mar 31, 2024 | 241,917.00 |
| Dec 31, 2023 | 125,028.00 |
| Sep 30, 2023 | 141,804.00 |
| Jun 30, 2023 | 180,256.00 |
| Mar 31, 2023 | 177,393.00 |
| Dec 31, 2021 | 191,829.00 |
| Jun 30, 2021 | -315,153.00 |
| Mar 31, 2021 | 343,687.00 |
| Dec 31, 2020 | 57,755.00 |
| Mar 31, 2020 | 34,770.00 |
| Dec 31, 2019 | 58,991.00 |
Powercompute Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PWCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PWCM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PWCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();